A resistin gene polymorphism is associated with body mass index in women

The potential association of resistin (RETN) gene variability with obesity-related phenotypes was investigated in 585 non-diabetic individuals of European descent. The polymorphism studied (–420 C>G) is located in the RETN gene 5-flanking region. A significant association between the polymorphism and body mass index and waist circumference was observed in the women subsample (n=356), where the G allele was somewhat less frequent in the overweight/obese group than in normal-weight individuals (0.25 vs. 0.32; p=0.040; OR=0.70 [0.50–0.98]). Female carriers of the G-allele presented a lower mean BMI than C/C homozygotes (25.5 vs. 26.8 kg/m²; p=0.010). Furthermore, when women were stratified by menopausal status, the association was restricted to premenopausal women (C/C homozygotes, mean BMI=26.3 kg/m²; G-carriers, 24.4 kg/m²; p=0.014). Our findings suggest that RETN gene variation has gender-specific effects on BMI and warrants further investigation of its implications for the development of obesity.     

A at Single Nucleotide Polymorphism-358 Is Required for G at -420 to Confer the Highest Plasma Resistin in the General Japanese Population

Insulin resistance is a feature of type 2 diabetes. Resistin, secreted from adipocytes, causes insulin resistance in mice. We previously reported that the G/G genotype of single nucleotide polymorphism (SNP) at −420 (rs1862513) in the human resistin gene (RETN) increased susceptibility to type 2 diabetes by enhancing its promoter activity. Plasma resistin was highest in Japanese subjects with G/G genotype, followed by C/G, and C/C. In this study, we cross-sectionally analyzed plasma resistin and SNPs in the RETN region in 2,019 community-dwelling Japanese subjects. Plasma resistin was associated with SNP-638 (rs34861192), SNP-537 (rs34124816), SNP-420, SNP-358 (rs3219175), SNP+299 (rs3745367), and SNP+1263 (rs3745369) (P<10⁻¹³ in all cases). SNP-638, SNP -420, SNP-358, and SNP+157 were in the same linkage disequilibrium (LD) block. SNP-358 and SNP-638 were nearly in complete LD (r² = 0.98), and were tightly correlated with SNP-420 (r² = 0.50, and 0.51, respectively). The correlation between either SNP-358 (or SNP-638) or SNP-420 and plasma resistin appeared to be strong (risk alleles for high plasma resistin; A at SNP-358, r² = 0.5224, P = 4.94×10⁻³²⁴; G at SNP-420, r² = 0.2616, P = 1.71×10⁻¹³³). In haplotypes determined by SNP-420 and SNP-358, the estimated frequencies for C-G, G-A, and G-G were 0.6700, 0.2005, and 0.1284, respectively, and C-A was rare (0.0011), suggesting that subjects with A at −358, generally had G at −420. This G-A haplotype conferred the highest plasma resistin (8.24 ng/ml difference/allele compared to C-G, P<0.0001). In THP-1 cells, the RETN promoter with the G-A haplotype showed the highest activity. Nuclear proteins specifically recognized one base difference at SNP-358, but not at SNP-638. Therefore, A at -358 is required for G at −420 to confer the highest plasma resistin in the general Japanese population. In Caucasians, the association between SNP-420 and plasma resistin is not strong, and A at −358 may not exist, suggesting that SNP-358 could explain this ethnic difference.     

Polymorphisms in 5��-flanking regions of genes encoding adiponectin, leptin, and resistin are not associated with obesity of Polish children and adolescents

Genes encoding adipokines are important functional candidates for development of obesity. In this study we screened for polymorphism 5??-flanking regions of the adiponectin (ADIPOQ), leptin (LEP) and resistin (RETN) genes in a cohort of Polish obese children and adolescents (n = 243) and a control group of non-obese adults (n = 100). Altogether 13 SNPs (single nucleotide polymorphisms) and 1 InDel (insertion/deletion polymorphism) were found. Among them five polymorphisms, localized in the LEP gene, turned out to be novel, but their distribution was insufficient for association studies. We found no consistent evidence for association between obesity and the SNPs demonstrating minor allele frequency (MAF) above 0.2 (ADIPOQ: ?11377C>G, LEP: ?2548C>T, 19A>G, RETN: ?1300G>A, ?1258C>T, ?420C>G). Comparison of polymorphisms distribution in patients and control group suggested association with ADIPOQ ?11377C>G (Pearson test P = 2.76 × 10^?11), however, we did not observe any effect of this polymorphism on BMI or relative BMI (RBMI) within obese patients (P = 0.41). We conclude that the tested SNPs are not useful markers of childhood and adolescence obesity in Polish population.     

Meta-analysis: Interleukin 6 gene -174G/C polymorphism associated with type 2 diabetes mellitus and interleukin 6 changes

The gene coding interleukin 6 (IL-6) is a promising candidate in predisposition to type 2 diabetes mellitus (T2DM). This study aimed to meta-analytically examine the association of IL-6 gene −174G/C polymorphism with T2DM and circulating IL-6 changes across −174G/C genotypes. Odds ratio (OR) and standard mean difference (SMD) with 95% confidence interval (CI) were calculated. Twenty-five articles were meta-analysed, with 20 articles for T2DM risk and 9 articles for circulating IL-6 changes. Overall, there was no detectable significance for the association between −174G/C polymorphism and T2DM, and this association was relatively obvious under dominant model (OR: 0.82, 95% CI: 0.56-1.21). Improved heterogeneity was seen in some subgroups, with statistical significance found in studies involving subjects of mixed races (OR: 0.63, 95% CI: 0.46-0.86). Begg's and filled funnel plots, along with Egger's tests revealed week evidence of publication bias. In genotype-phenotype analyses, carriers of −174CC and −174CG genotypes separately had 0.10 and 0.03 lower concentrations (pg/mL) of circulating IL-6 than −174GG carriers. Albeit no detectable significance for the association of −174G/C with T2DM, our findings provided suggestive evidence on a dose-dependent relation between −174G/C mutant alleles and circulating IL-6 concentrations, indicating possible implication of this polymorphism in the pathogenesis of T2DM.     

Association between resistin + 299A/A genotype and nonalcoholic fatty liver disease in Chinese patients with type 2 diabetes mellitus

Objective

To investigate the relationship between the resistin intronic + 299G/A polymorphism and nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM).

Methods

We selected 738 T2DM patients, including 395 with NAFLD and 343 without fatty liver disease, as well as 279 healthy control individuals, and analyzed their resistin + 299G/A polymorphism genotype by polymerase chain reaction–restriction fragment length polymorphism.

Results

Plasma resistin levels in T2DM patients with NAFLD were at the highest (P < 0.05). The frequency of AA genotype at the + 299 site of the resistin gene in patients with concurrent T2DM combined with NAFLD was significantly different from that in the control (P < 0.05). The AA genotype was found to be associated with a 1.80-fold increased risk for T2DM combined with NAFLD, 2.05-fold increased risk for obesity and 2.37-fold increased risk for obesity of abdominal type compared to the GG (P < 0.05, respectively). The multivariate non-conditional logistic regression model analysis further shows that the AA genotype is a risk factor for the development of NAFLD in T2DM patients (OR, 2.32; 95% CI, 1.05–4.68; P < 0.05).

Conclusion

The resistin + 299AA genotype may be associated with increases in the risk of the NAFLD development in T2DM patients.     

TNF-alpha −308G/A and −238G/A polymorphisms and its protein network associated with type 2 diabetes mellitus

Several reports document the role of tumor necrosis factor alpha (TNF-α) and lipid metabolism in the context of acute inflammation as a causative factor in obesity-associated insulin resistance and as one of the causative parameter of type 2 diabetes mellitus (T2DM). Our aim was to investigate the association between −308G/A and −238G/A polymorphisms located in the promoter region of the TNF-α gene in T2DM in the Indian population with bioinformatics analysis of TNF-α protein networking with an aim to find new target sites for the treatment of T2DM. Demographics of 100 diabetes patients and 100 healthy volunteers were collected in a structured proforma and 3 ml blood samples were obtained from the study group, after approval of Institutional Ethics Committee of the hospital (IEC). The information on clinical parameters was obtained from medical records. Genomic DNA was extracted; PCR–RFLP was performed using TNF-α primers specific to detect the presence of SNPs. Various bioinformatics tools such as STRING software were used to determine its network with other associated genes. The PCR–RFLP studies showed that among the −238G/A types the GG genotype was 87%, GA genotype was 12% and AA genotype was 1%. Almost a similar pattern of results was obtained with TNF-α −308G/A polymorphism. The results obtained were evaluated statistically to determine the significance. By constructing TNF-α protein interaction network we could analyze ontology and hubness of the network to identify the networking of this gene which may influence the functioning of other genes in promoting T2DM. We could identify new targets in T2DM which may function in association with TNF-α. Through hub analysis of TNF-α protein network we have identified three novel proteins RIPK1, BIRC2 and BIRC3 which may contribute to TNF-mediated T2DM pathogenesis. In conclusion, our study indicated that some of the genotypes of TNF-α −308G/A, −238G/A were not significantly associated to type 2 diabetes mellitus, but TNF-α −308G/A polymorphism was reported to be a potent risk factor for diabetes in higher age (>45) groups. Also, the novel hub proteins may serve as new targets against TNF-α T2DM pathogenesis.     

Genetic variants at the resistin locus are associated with the plasma resistin concentration and cardiovascular risk factors

OBJECTIVE: To examine the relation of the single nucleotide polymorphisms (SNPs) of the resistin gene on the plasma resistin concentration and cardiovascular risk factors. METHODS AND RESULTS: Plasma resistin concentrations were measured and SNP -420C>G, +157C>T, and +299G>A genotyped in our Finnish population-based cohort. Association analyses were performed in the control group of the cohort (n=515). In addition, the hypertension group (n=505), representing a high-risk group, was analyzed for these SNP's and the frequencies were compared with the low-risk control group. Resistin concentration differed significantly between the SNP genotypes, the common homozygotes having the lowest concentration in every SNP (p<0.01). After adjustment for age, sex, and BMI SNP -420C-C homozygotes had the lowest IGFBP-1 (p=0.001), the highest GHbA(1c) (p=0.028) in all the subjects and the lowest quick index (p<0.001) and the highest insulin (p<0.001) among female subjects of the control cohort. Plasma triglycerides were the lowest among G-G homozygotes (p=0.006). In addition, the SNP -420C allele was more frequent among hypertensive than control cohort (p=0.018). CONCLUSIONS: The results imply that genetic variation seems to have a role in the determination of plasma resistin level. SNP -420C-C homozygozity status seems to be associated with more deleterious metabolic profile.     

Association of adiponectin (AdipoQ) and sulphonylurea receptor (ABCC8) gene polymorphisms with Type 2 Diabetes in North Indian population of Punjab

In Type 2 Diabetes (T2D), adiponectin (AdipoQ) and sulphonylurea receptor genes (ABCC8) are important targets for candidate gene association studies. The single nucleotide polymorphisms (SNPs) in these genes have been associated with features of the metabolic syndrome across various populations. The present case–control study undertaken in the population of Punjab, evaluates the association of + 45T>G polymorphism in AdipoQ gene; and Exon16-3C>T as well as Exon18C>T polymorphisms in ABCC8 gene with T2D. These SNPs were genotyped in 200 T2D cases and 200 non-diabetic healthy controls using the PCR-RFLP method. The frequency of the minor G-allele for AdipoQ+ 45(T>G) polymorphism was significantly higher in T2D cases (29.0%) than in controls (21.5%) [P = 0.02, OR = 1.49 (1.07–2.04)]. The genetic model analysis revealed that the G-allele cumulatively provides nearly 1.59–1.78 fold increased risk to T2D under the additive (P = 0.009; OR = 1.59, 1.12–2.25 at 95% CI), dominant (TG/GG vs. TT) (P = 0.034, OR = 1.64, 1.04–2.56 at 95% CI) and codominant model (TG vs. TT/GG) (P = 0.014; OR = 1.78, 1.12–2.82 at 95% CI) after adjusting for confounding factors. However, no difference in the distribution of genotype and allele frequencies was observed for both the ABCC8 polymorphisms. The distribution of obesity profiles (BMI, WC and WHR) was also significantly different between cases and controls (P < 0.05). Higher BMI and central obesity were observed to increase the risk of T2D. G-allele of + 45(T>G) polymorphism in the adiponectin gene appears to be associated with increased risk of T2D, but the polymorphisms in sulphonylurea receptor gene do not seem to be associated with T2D in the population of Punjab.     

Resistin polymorphisms show associations with obesity, but not with bone parameters in men: results from the Odense Androgen Study

Resistin is an obesity-related adipokine which has also been implicated in bone metabolism. Therefore, we designed a study to investigate the possible role of resistin gene variation in both obesity and bone mineral density. We included 1,155 individuals from the Odense Androgen Study (663 young subjects and 492 older subjects), a population-based, prospective, observational study on the inter-relationship between endocrine status, body composition, muscle function, and bone metabolism in men, in an association study with resistin (RETN) polymorphisms. Three RETN variants (rs1862513, rs3745367 and rs3745369) were genotyped with TaqMan Pre-Designed Genotyping assays. Linear regression was performed to investigate the possible association of these variants with several obesity- and bone-related parameters. After genotyping 1,155 Danish men, 663 young subjects and 492 older subjects, we found that rs3745367 was associated with several obesity-related measures in both the young and elderly cohort. Rs3745369 was only associated with obesity-phenotypes in the elderly cohort. When studying the combined cohorts, we could confirm the associations of rs3745367 with several obesity-related parameters. We were unable to identify any association between RETN polymorphisms and bone-related measurements. Together, these results illustrate resistin’s role in the development of obesity. Rs3745367 gives the most consistent results in the current study and these should be confirmed in other populations. Research into its possible functional effect might also be required. A role for RETN variants in determining bone mineral density seems unlikely from our results.     

Contribution of genetic variant identified in HHEX gene in the overweight Saudi patients confirmed with type 2 diabetes mellitus

BackgroundThe rs7932837 polymorphism in the Hematopoietically expressed homeobox (HHEX) gene was discovered through genome-wide association studies and is a promising candidate for type 2 diabetes mellitus (T2DM), which is one of the risk factors for obesity and other complications. T2DM has been identified as a heterogeneous and multifactorial disease characterized by insulin resistance and secretion.AimThe aim of this study was to investigate the rs7932837 polymorphism in the HHEX gene in overweight patients diagnosed with T2DM in the Saudi Population.MethodsIn this case-control study, one hundred T2DM cases and 100 controls were selected based on inclusion and exclusion criteria. Genotyping was performed with polymerase chair reaction-restriction fragment length polymorphism analysis and statistical analysis was performed between T2DM cases and controls for clinical characteristics, genotype and allele frequencies and multiple logistic regression analysis.ResultsIn this study, T2DM cases were compared with healthy control subjects. Clinical characteristic analysis revealed the statistical analysis between age, weight, BMI, FBG, HDL-c, TC, TG and family history (p < 0.05). HWE analysis was in the accordance (p < 0.05). The rs7932837 polymorphism in the recessive model showed the positive association (AA + AG vs AA: 2.22 [1.25–3.96] & p = 0.006) and none of the genotypes or alleles were in the statistical association. Multiple logistic regression analysis revealed positive association with age, BMI and FBG (p < 0.05).ConclusionThis study concludes as rs7932837 polymorphism in the HHEX gene showed positive association with recessive model and future studies recommend to carry out with large number of sample size with additional polymorphisms in HHEX gene.     

The association of MDR1 C3435T and G2677T/A polymorphisms with plasma platelet-activating factor levels and coronary artery disease risk in Turkish population

Increased levels of peripheral proinflammatory mediators can contribute to the development of coronary artery disease (CAD). Platelet activating factor (PAF) is an important proinflammatory mediator and plasma levels of PAF correlate with transmembrane transporter multidrug resistant 1 P-glycoprotein (MDR1 Pgp) expression and activity. MDR1 polymorphisms can affect the expression and activity of Pgp and plasma PAF levels. Therefore, we investigated the possible relationship between MDR1 C3435T and G2677T/A polymorphisms and plasma PAF levels and the risk of CAD. The study population consisted of 198 patients angiographically documented CAD, including 113 cases with at least 1 coronary artery with ≥ 50% luminal diameter stenosis and 85 control subjects with strictly normal coronary angiograms. Genotypes of the MDR1 C3435T and G2677T/A polymorphisms were determined by polymerase chain reaction (PCR) followed by restriction fragment length polymorphism (RFLP). Plasma PAF levels were detected by enzyme-linked immunosorbent assay (ELISA). There were no significant differences among plasma PAF levels in regard to MDR1 C3435T and G2677T polymorphisms in CAD patients and controls. No statistically significant difference was found for the genotypic and allelic distributions of the polymorphisms in the MDR1 gene between the patients and the control subjects. Furthermore, analysis of MDR1 haplotypes did not show any associations with increased plasma PAF levels and risk of CAD. Our results suggest that plasma PAF levels are not associated with MDR1 gene polymorphisms. There is no association between MDR1 C3435T and G2677T/A polymorphisms and the risk of CAD in Turkish patients.     

The HHEX rs1111875A/G gene polymorphism is associated with susceptibility to type 2 diabetes in the iranian population

The illuminating picture of genetic mechanisms underlying the development of type 2 diabetes (T2DM) includes differently accumulated genetic polymorphisms that increase the risk along with environmental factors. A number of single nucleotide polymorphisms (SNPs) are indicated to be linked with T2DM, but also conflicting results have been found. To examine the contribution of these polymorphisms in conferring susceptibility to T2DM, the association of HHEX rs1111875A/G and CDKN2A/B rs10811661C/T common gene polymorphisms with the risk of T2DM in an Iranian population was evaluated. In this study participated 140 patients and 140 controls. Genomic DNA was extracted from samples and genotyping of the polymorphisms was performed by the Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) technique. A significant association was found with the G allele (OR = 1.729, CI = 1.184–2.523, P = 0.004) and GG genotype (OR = 2.921, 95% CI = 1.789–4.771, P< 0.001) of the rs1111875A/G SNP for susceptibility to T2DM in the recessive model. Furthermore, compared with the GG genotype, individuals with the GA genotype had a lower risk to develop T2DM (OR = 0.237, 95% CI = 0.137–0.408, P< 0.001) in the additive model. In addition, an association between the polymorphism and BMI in regard to the risk of T2DM was identified. The genotype and allele frequencies of the rs10811661C/T polymorphism did not show a statistically significant association with T2DM in any genetic model. Our results show that the rs1111875A/G polymorphism is an important susceptibility polymorphism for the development of T2DM in the Iranian population. Also, these findings support that this polymorphism is a key genetic risk factor for the development of T2DM in multiple ethnic populations.

     

HHEX gene polymorphisms and type 2 diabetes mellitus: A case-control report from Iran

Genome-wide association studies indicated that hematopoietically-expressed homeobox (HHEX) gene is a remarkable candidate for type 2 diabetes (T2D) mellitus susceptibility in spite of the fact that the results are ambiguous in some cases. So, this study aimed to evaluate the possible correlation between HHEX gene polymorphisms and T2D development in a sample of the Iranian population. The rs1111875G/A, rs7923837A/G, and rs5015480C/T HHEX gene polymorphisms were genotyped in 250 cases and 250 matched (age and sex) healthy controls using tetra-amplification-refractory mutation system-polymerase chain reaction method. The finding revealed the all measured inheritance models of rs1111875G/A and of rs5015480C/T variants dramatically increase the risk of T2D while another polymorphism (rs7923837A/G) was not associated with risk/protective role in T2D. The results indicated that rs1111875G/A and rs5015480C/T may contribute to the enhancement of T2D risk in a sample of the southeast Iranian population.     

Meta-analysis of TNF 308 G/A polymorphism and type 2 diabetes mellitus

Background and Objectives

Many investigations have focused the association between TNF 308 G/A polymorphism and risk for type 2 diabetes mellitus (T2DM). However, the sample sizes of most of the studies were small. The aim of this study is to evaluate the precise association between this variant and risk for T2DM in a large-scale meta-analysis.

Methods

All publications were searched on the association between TNF 308 G/A polymorphism and T2DM. The key words were as follows: diabetes, tumor necrosis factor and polymorphism/variant/genotype. This meta-analysis was assessed by Review manager 5.0.

Results

There were 18 studies identified. The odd ritos (ORs) and 95% confidence intervals (CI) for GA+AA versus GG genotype of TNF 308 G/A polymorphism were 1.03 (0.95–1.12), 1.03 (0.94–1.13) and 1.03 (0.78–1.36) in overall, Caucasian and Asian populations, respectively. The sensitivity analysis further strengthened the validity of this association. No publication bias or heterogeneity was observed in this study.

Conclusion

In summary, there was no significant association detected between the TNF 308 G/A polymorphism and risk for T2DM.     

Polymorphisms in FTO and near TMEM18 associate with type 2 diabetes and predispose to younger age at diagnosis of diabetes

Variations in the FTO gene and near the TMEM18 gene are risk factors for common form of obesity, but have also been linked with type 2 diabetes (T2D). Our aim was to investigate the contribution of these variants to risk of T2D in a population in Latvia. Four single nucleotide polymorphisms (SNP) in the first and fourth intronic regions of FTO and one close to TMEM18 were genotyped in 987 patients with T2D and 1080 controls selected from the Latvian Genome Data Base (LGDB). We confirmed association of SNPs in the first intron (rs11642015, rs62048402 and rs9939609) of FTO and rs7561317 representing the TMEM18 locus with T2D. Association between SNP in FTO and T2D remained significant after correction for body mass index (BMI). The rs57103849 located in the fourth intron of FTO and rs7561317 in TMEM18 showed BMI independent association with younger age at diagnosis of T2D. Our results add to the evidence that BMI related variants in and near FTO and TMEM18 may increase the risk for T2D not only through secondary effects of obesity. The influence of variants in the fourth intron of the FTO gene on development of T2D may be mediated by mechanisms other than those manifested by SNPs in the first intron of the same gene.     

Genetic association of ADIPOQ gene variants with type 2 diabetes,obesity and serum adiponectin levels in south Indian population

Objective

To investigate the genetic association of eight variants of the adiponectin gene with type 2 diabetes mellitus (T2DM), obesity and serum adiponectin level in the south Indian population.

Methods

The study comprised of 1100 normal glucose tolerant (NGT) and 1100 type 2 diabetic, unrelated subjects randomly selected from the Chennai Urban Rural Epidemiology Study (CURES), in southern India. Fasting serum adiponectin levels were measured by radioimmunoassay. The variants were screened by polymerase chain reaction-restriction fragment length polymorphism. Linkage disequilibrium was estimated from the estimates of haplotype frequencies.

Results

Of the 8 variants, four SNPs namely, + 276 G/T (rs1501299), − 4522 C/T (rs822393), − 11365 C/G (rs266729), and + 712 G/A (rs3774261) were significantly associated with T2DM in our study population. The −3971 A/G (rs822396) and − 11391 G/A (rs17300539) SNPs' association with T2DM diabetes was mediated through obesity (where the association with type 2 diabetes was lost after adjusting for BMI). There was an independent association of + 276 G/T (rs1501299) and − 3971 A/G (rs822396) SNPs with generalized obesity and + 349 A/G (rs2241767) with central obesity. Four SNPs, −3971 A/G (rs822396), + 276 G/T (rs1501299), − 4522 C/T (rs822393) and Y111H T/C (rs17366743) were significantly associated with hypoadiponectinemia. The haplotypes GCCATGAAT and AGCGTGGGT conferred lower risk of T2DM in this south Indian population.

Conclusion

The adiponectin gene variants and haplotype contribute to the genetic risk towards the development of type 2 diabetes, obesity and hypoadiponectinemia in the south Indian population.     

Multilocus analyses of seven candidate genes suggest interacting pathways for obesity-related traits in Brazilian populations

We investigated whether variants in major candidate genes for food intake and body weight regulation contribute to obesity-related traits under a multilocus perspective. We studied 375 Brazilian subjects from partially isolated African-derived populations (quilombos). Seven variants displaying conflicting results in previous reports and supposedly implicated in the susceptibility of obesity-related phenotypes were investigated: β2-adrenergic receptor (ADRB2) (Arg16Gly), insulin induced gene 2 (INSIG2) (rs7566605), leptin (LEP) (A19G), LEP receptor (LEPR) (Gln223Arg), perilipin (PLIN) (6209T > C), peroxisome proliferator-activated receptor-γ (PPARG) (Pro12Ala), and resistin (RETN) (-420 C > G). Regression models as well as generalized multifactor dimensionality reduction (GMDR) were employed to test the contribution of individual effects and higher-order interactions to BMI and waist-hip ratio (WHR) variation and risk of overweight/obesity. The best multilocus association signal identified in the quilombos was further examined in an independent sample of 334 Brazilian subjects of European ancestry. In quilombos, only the PPARG polymorphism displayed significant individual effects (WHR variation, P = 0.028). No association was observed either with the risk of overweight/obesity (BMI ≥ 25 kg/m2), risk of obesity alone (BMI ≥ 30 kg/m2) or BMI variation. However, GMDR analyses revealed an interaction between the LEPR and ADRB2 polymorphisms (P = 0.009) as well as a third-order effect involving the latter two variants plus INSIG2 (P = 0.034) with overweight/obesity. Assessment of the LEPR-ADRB2 interaction in the second sample indicated a marginally significant association (P = 0.0724), which was further verified to be limited to men (P = 0.0118). Together, our findings suggest evidence for a two-locus interaction between the LEPR Gln223Arg and ADRB2 Arg16Gly variants in the risk of overweight/obesity, and highlight further the importance of multilocus effects in the genetic component of obesity.     

Association of the interleukin-10 − 592A/C, − 1082G/A and − 819T/C gene polymorphisms with type 2 diabetes: A meta-analysis

There is more evidence that interleukin-10 (IL-10), as a multifunctional regulatory cytokine of inflammatory responses, may have an important role in type 2 diabetes (T2D). However, genetic association studies that evaluated the relationship between IL-10 gene variants and T2D have produced conflicting results. The aim of this study was to determine whether the IL-10 gene polymorphisms (− 592A/C, − 1082G/A, − 819T/C) conferred susceptibility to T2D through a meta-analysis. A comprehensive search was conducted to examine all the eligible studies. A total of 9 studies involving 2838 T2D patients and 2773 controls were considered in the meta-analysis. Overall, there was no significant association between IL-10 − 592A/C and T2D (A vs C: OR = 0.93, P = 0.625; AA + AC vs CC: OR = 0.89, P = 0.511; AA vs AC + CC: OR = 0.93, P = 0.821). We failed to find the association between the IL-10 − 1082G allele and T2D (OR = 1.04, P = 0.430), but the genotypes of the IL-10 − 1082G/A polymorphism conferred a risk for the development of T2D (GA vs AA: OR = 1.21, P = 0.027; GG + GA vs AA: OR = 1.17, P = 0.048). Analysis of the − 819T/C polymorphism revealed no significant association with T2D (T vs C: OR = 1.04, P = 0.853; TT + TC vs CC: OR = 1.07, P = 0.834; TT vs TC + CC: OR = 1.08, P = 0.824). In conclusion, the present meta-analysis suggests association between the IL-10 − 1082G/A polymorphism and T2D. However, additional well-designed and larger scale primary studies are required to further evaluate the IL-10 gene polymorphisms and T2D.     

Genetic Predisposition for Development of Nephropathy in Type 2 Diabetes Mellitus

The aim of the study was to explore the association of the angiotensin-converting enzyme (ACE) gene I/D polymorphism and the methylenetetrahydrofolate reductase (MTHFR) gene C677T polymorphism with development of diabetic nephropathy in type 2 diabetes mellitus. Three groups were recruited during 2007–2011: 232 normal controls, 185 type 2 diabetics without nephropathy, and 407 type 2 diabetics with nephropathy. The ACE I/D and MTHFR C677T polymorphisms were examined using PCR and PCR-RFLP methods. We found no significant association of the ACE I/D polymorphism with diabetic nephropathy in genotype, allele, dominant, and recessive models. We observed a significant association of MTHFR C677T with development of diabetic nephropathy in type 2 diabetics. The MTHFR C677T polymorphism plays a significant role in predisposition of renal insufficiency in diabetic patients.