Replication study of novel risk variants in six genes with type 2 diabetes and related quantitative traits in the Han Chinese lean individuals

To replicating the associations of type 2 diabetes (T2D) and six novel reported variants in Han Chinese lean individuals of first episode T2D, a total of six high risk single nucleotide polymorphisms (SNPs) from the BCL11A, DUSP9, IRS1, CENTD2, ADRA2A, and CDKAL1 genes were examined. Candidate six SNPs were genotyped in 761 T2D patients and 433 control subjects, and associations between the six SNPs and Body Mass Index (BMI), Fasting Plasma Glucose (FPG) and Two Hours Oral Glucose Tolerance Test (2hOGTT) were also investigated. CDKAL1 provided the strongest evidence for replication, where rs7754840 was associated with T2D (odds ratio = 1.54, per copy of the risk C allele, P = 8.10 × 10⁻⁷). SNP rs5945326 at DUSP9 showed modest significance (odds ratio = 0.81, per copy of the protective G allele, P = 0.02). After adjusting the confounders of age, gender and BMI, the above results remain significant for both rs7754840 (P < 1.0 × 10⁻⁴) and rs5945326 (P = 0.043) respectively. After correcting for multiple testing, however, only the association between T2D and rs7754840 at CDKAL1 (P < 1×10⁻⁴) remains significant. In addition, the risk C allele of CDKAL1 rs7754840 was significantly associated with increased FPG levels (P = 3.8 × 10⁻⁴). The association between genetic variant in CDKAL1 gene was detected in the Han Chinese lean individuals. The correlation between rs7754840-C allele and increased FPG levels is consistent with the potential function of CDKAL1 gene in pancreatic islets.     

Association of the variants in the BUD13‐ZNF259 genes and the risk of hyperlipidaemia

The single nucleotide polymorphisms (SNPs) in the BUD13 homolog (BUD13) and zinc finger protein 259 (ZNF259) genes have been associated with one or more serum lipid traits in the European populations. However, little is known about such association in the Chinese populations. Our objectives were to determine the association of the BUD13/ZNF259 SNPs and their haplotypes with hypercholesterolaemia (HCH)/hypertriglyceridaemia (HTG) and to identify the possible gene–gene interactions among these SNPs. Genotyping of 6 SNPs was performed in 634 hyperlipidaemic and 547 normolipidaemic participants. The ZNF259 rs2075290, ZNF259 rs964184 and BUD13 rs10790162 SNPs were significantly associated with serum lipid levels in both HCH and non‐HCH populations (P < 0.008–0.001). On single locus analysis, only BUD13 rs10790162 was associated with HCH (OR: 2.23, 95% CI: 1.05, 4.75, P = 0.015). The G‐G‐A‐A‐C‐C haplotype, carrying rs964184‐G‐allele, was associated with increased risk of HCH (OR: 1.35, 95% CI: 1.10, 1.66, P = 0.005) and HTG (OR: 1.75, 95% CI: 1.39, 2.21, P = 0.000). The A‐C‐G‐G‐C‐C and A‐C‐A‐G‐T‐C haplotypes, carrying rs964184‐C‐allele, were associated with reduced risk of HCH (OR: 0.77, 95% CI: 0.61, 0.99, P = 0.039 and OR: 0.66, 95% CI: 0.47, 0.94, P = 0.021 respectively). On multifactor dimensionality reduction analyses, the two‐ to three‐locus models showed a significant association with HCH and HTG (P < 0.01–0.001). The BUD13/ZNF259 SNPs, which were significant in the European populations, are also replicable in the Southern Chinese population. Moreover, inter‐locus interactions may exist among these SNPs. However, further functional studies are required to clarify how these SNPs and genes actually affect the serum lipid levels.     

Investigation of CTLA‐4 and CD86 gene polymorphisms in Iranian patients with brucellosis infection

The protective immune response against Brucella involves T‐cell‐mediated immunity. T‐lymphocyte receptors, CD28 and cytotoxic T‐lymphocyte‐associated protein‐4 (CTLA‐4), bind the same ligands, CD80 (B7‐1) and CD86 (B7‐2) on antigen‐presenting cells and regulate T cell activation. CD28 delivers stimulatory signals whereas CTLA‐4 provides inhibitory signals for T cell activation. Here, we investigated the association of four polymorphisms in CTLA4 (+49A/G [rs231775] and ?318 C/T [rs5742909]) and its ligand CD86 (+1057 G/A [rs1129055] and +2379G/C [rs17281995]) with brucellosis infection. The study included 153 Iranian patients with active brucellosis and 128 healthy individuals as the control group. Genotyping of the CTLA4 and CD86 variants was performed using tetra amplification refractory mutation system‐polymerase chain reaction (T‐ARMS‐PCR) and PCR–restriction fragment length polymorphism analysis, respectively. It was found that the CTLA4 ?318 CT genotype and T allele were present more frequently in cases than in controls and are therefore associated with an increased risk for brucellosis (?318 TT genotype; OR = 2.544, P = 0.002). Likewise, the CD86 +1057 GA and AA genotypes and A allele were associated with an increased risk of brucellosis (+1057 AA genotype; OR = 3.81, P = 0.001). However, no statistically significant difference between brucellosis patients and controls in the allele and genotype distributions of CTLA4, +49A/G (P = 0.859) and CD86, +2379G/C (P = 0.476) was found. In conclusion, CTLA4 ?318 CT genotype and T allele and the CD86 +057 GA and AA genotypes and A allele play roles as risk factors for developing brucellosis infection in Iran.

     

Meta‐analysis Added Power to Identify Variants in FTO Associated With Type 2 Diabetes and Obesity in the Asian Population

Several common variants in the intron 1 of FTO (fat mass and associated obesity) gene have been reliably associated with BMI and obesity in European populations. We analyzed two variants (rs9939609 and rs8050136) in 4,189 Chinese Han individuals and conducted a meta‐analysis of published studies in Asian population to investigate whether these variants are associated with type 2 diabetes (T2D) and obesity in Asian population. In this study, both the minor allele A of rs9939609 and the minor allele A of rs805136 were associated with increased risk of T2D, independent of measures of BMI; the odds ratios (ORs) per copy of the risk allele were 1.19 for rs9939609 (95% confidence interval (CI), 1.04–1.37; P = 0.01) and 1.22 for rs8050136 (95% CI, 1.07–1.40; P = 0.004) after adjusting for age, sex, and BMI. Our results also showed association with risk of obesity (rs9939609: OR = 1.39 (95% CI 1.04–1.85), P = 0.02; rs8050136: OR = 1.45 (95% CI 1.09–1.93), P = 0.01) but no association with overweight. These results were consistent with the pooled results from our meta‐analysis study (for diabetes, rs8050136, P = 1.3 × 10^?3; rs9939609, P = 9.8 × 10^?4; for obesity, rs8050136, P = 2.2 × 10^?7; rs9939609, P = 9.0 × 10^?9). Our findings indicate that the two variants (rs9939609 and rs8050136) in the FTO gene contribute to obesity and T2D in the Asian populations.     

A Rare Variant in the Visfatin Gene (NAMPT/PBEF1) Is Associated With Protection From Obesity

Visfatin was recently reported as a novel adipokine encoded by the NAMPT (PBEF1) gene. This study was aimed at investigation of the possibility that single‐nucleotide polymorphisms (SNPs) in the visfatin gene are associated with either obesity or type 2 diabetes (T2D). A set of eight “tag‐SNPs” were selected and ABI SNPlex assays designed for genotyping purposes. A total of 1,709 severely obese subjects were typed (896 class III obese adults and 813 children) together with 2,367 T2D individuals and 2,850 controls. For quantitative trait analysis, an additional 2,362 subjects were typed for rs10487818 from a general population sample. One rare SNP, rs10487818, located in intron 4 of NAMPT was associated with severe obesity, with a minor allele frequency of 1.6% in controls, 0.4% in the class III obese adults and, remarkably, 0% in the severely obese children. A highly significant association was observed for the presence or absence of the rare allele, i.e., (A,A) vs. (A,T + T,T) genotypes, in children (P = 6 × 10^?9) and in adults (P = 8 × 10^?5). No other significant (P < 0.05) association was observed with obesity or T2D for this or any other SNP. No association with BMI or waist‐to‐hip ratio was observed in a general population sample (n = 5,212). This is one of the first rare SNPs shown to be protective against a common polygenic disease and provides further evidence that rare alleles of strong effect can contribute to complex diseases such as severe obesity.     

Replication of Association Between a Common Variant Near Melanocortin‐4 Receptor Gene and Obesity‐related Traits in Asian Sikhs

Recent genome‐wide association studies (GWAS) in Asian Indians reported strong associations of variants near melanocortin‐4 receptor (MC4R) and MLX interacting protein‐like (MLXIPL) genes with insulin resistance and several obesity‐related quantitative traits (QTs). Here, we evaluated the association of two variants (rs12970134 and rs4450508) near MC4R and a nonsynonymous (Gln241His) variant (rs3812316) in MLXIPL gene with type 2 diabetes (T2D) and obesity‐related QTs in our case–control cohort (n = 1,528; 745 T2D cases and 783 controls) from a Sikh population from North India. We have successfully replicated the association of MC4R (rs12970134) with BMI (P = 0.0005), total weight (WT) (P = 0.001), and waist circumference (WC) (P = 0.001). These associations remained significant after controlling for multiple testing by applying Bonferroni's correction. However, our data did not confirm the association of rs3812316 in the MLXIPL gene with triglyceride (TG) levels. These observations demonstrate that the genetic variation in MC4R locus can have a moderate contribution in the regional fat deposition and development of central obesity in Asian Indians.     

Adipocyte Fatty Acid‐binding Protein as a Determinant of Insulin Sensitivity in Morbid‐obese Women

The aim of the study was to evaluate human plasma circulating levels of adipocyte fatty acid‐binding protein (A‐FABP) and its relationship with proinflammatory adipocytokines and insulin resistance in a severely obese cohort, before and 1 year after a surgical gastric bypass. Plasmatic levels of A‐FABP were measured in 77 morbid‐obese women before and 1 year after bariatric surgery. Anthropometrical parameters and body composition by bioelectrical impedance analysis were determined. Circulating levels of soluble tumor necrosis factor receptor 2 (sTNFR2), Interleukin 18 (IL‐18), adiponectin, and high‐sensitive C‐reactive protein (hsCRP) were also analyzed. Insulin resistance by homeostasis model assessment of insulin resistance (HOMA‐IR) index was calculated. After massive weight loss, A‐FABP plasmatic levels decreased significantly [7.6 (8.9) vs. 4.3 (5.1); P < 0,001] but no association with circulating adipokines or proinflammatory cytokines, both at the beginning and at the end of follow‐up, was observed. A decrease in sTNFR2, IL‐18, hsCRP, and an increase in adiponectin levels (P < 0.001 in all cases) were observed after the gastric bypass. HOMA‐IR index improved 1 year after surgery and after multiple regression analysis remained associated with A‐FABP after controlling for confounding variables (β = 0.322, P = 0.014; R² for the model 0.281). In morbid‐obese women, plasma A‐FABP concentrations were dramatically reduced after gastric bypass surgery. After weight loss this protein contributed to HOMA‐IR index independently of proinflammatory/antinflammatory cytokine profile. Further studies are warranted to elucidate the role of A‐FABP in the pathogenesis of insulin resistance in morbid obesity.     

Association of leptin and leptin receptor gene polymorphisms with systemic lupus erythematosus in a Chinese population

To explore the association of LEP and leptin receptor (LEPR) gene single‐nucleotide polymorphisms (SNPs) with susceptibility to systemic lupus erythematosus (SLE) in a Chinese population. Four LEP SNPs (rs11761556, rs12706832, rs2071045 and rs2167270) and nine LEPR SNPs (rs10749754, rs1137100, rs1137101, rs13306519, rs8179183, rs1805096, rs3790434, rs3806318 and rs7518632) were genotyped in a cohort of 633 patients with SLE and 559 healthy controls. Genotyping of SNPs was performed with improved multiple ligase detection reaction (iMLDR). No significant differences were detected for the distribution of allele and genotype frequencies of all 13 SNPs between patients with SLE and controls. The genotype effects of recessive, dominant and additive models were also analysed, but no significant evidence for association was detected. However, further analysis in patients with SLE showed that the TT genotype and T allele frequencies of the LEP rs2071045 polymorphism were nominally significantly higher in patients with pericarditis (P = 0.012, P = 0.011, respectively). In LEPR, the GA/AA genotype and A allele frequencies of the rs1137100 polymorphism were both nominally associated with photosensitivity in patients with SLE (P = 0.043, P = 0.018, respectively). Moreover, the genotype and allele distribution of rs3806318 were also nominally associated with photosensitivity in patients with SLE (P = 0.013, P = 0.008, respectively). No significant differences in serum leptin levels were observed in patients with SLE with different genotypes. In summary, LEP and LEPR SNPs are not associated with genetic susceptibility to SLE, but may contribute to some specific clinical phenotype of this disease; further studies are necessary to elucidate the exact role of LEP and LEPR genes in the pathogenesis of SLE.     

Interleukin‐6 Receptor Gene Polymorphism Modulates Interleukin‐6 Levels and the Metabolic Syndrome: GBCS‐CVD

Interleukin‐6 (IL‐6) is a key pleiotropic cytokine that modulates the inflammatory response. Single‐nucleotide polymorphisms (SNPs) within associated genes may contribute to the metabolic syndrome (MES). We examined the role of the IL‐6 (rs1524107‐C/T) and IL‐6 receptor (IL‐6R, rs8192284‐A/C, Asp358Ala) SNPs in modulating IL‐6 levels and the syndrome. A total of 1,979 older Chinese subjects aged 50–92 years from Guangzhou Biobank Cohort Study (GBCS) were recruited. SNPs were detected using Taqman SNP genotyping kits. IL‐6 was measured using enzyme‐linked immunosorbent assay. The genotype frequencies were 4.9, 33.9, and 61.3% for the IL‐6 CC, CT, and TT, and 12.0, 44.9, and 43.1% for the IL‐6R CC, AC, and AA, respectively. Both SNPs were in Hardy–Weinberg equilibrium. The IL‐6 SNP was not associated with IL‐6 levels or the MES, but was dose‐dependently associated with fibrinogen levels, P = 0.049. IL‐6 levels significantly decreased with increasing proportions of the IL‐6R A‐allele 9.8 ± 4.9, 9.3 ± 4.8, and 8.4 ± 4.3, respectively, P = 0.001. Conversely, the A‐allele was associated with elevated triglyceride, P = 0.009, C‐reactive protein, P = 0.047, and potentially with fasting glucose levels, P = 0.077. There was an increasing prevalence of the MES in those carrying the IL‐6R CC, AC, and AA genotypes at 18.1, 21.5, 25.2%, respectively, P = 0.010. The SNP was a significant independent predictor of the MES after adjusting for general obesity, age, gender and lifestyle, and socioeconomic parameters, P = 0.023. These data, which are in accord with studies from white populations suggest the IL‐6R SNP may play a role in the pathogenesis of the MES possibly through modulating IL‐6 levels.     

Genetic polymorphisms of the bovine Fatty acid binding protein 4 gene are significantly associated with marbling and carcass weight in Hanwoo (Korean Cattle)

The objective of this study was to investigate an association between polymorphisms in the FABP4 gene and phenotypic variation for marbling and carcass weight (CWT) in a population of Hanwoo steers. We re‐sequenced 4.3 kb of the FABP4 gene region in 24 Hanwoo bulls and identified 16 SNPs and 1 microsatellite polymorphism. Of these 16 SNPs, three SNPs [g.2774G>C (intron I), g.3473A>T (intron II) and g.3631G>A (exon III, creating a p.Met >Val amino acid substitution)] were genotyped in 583 steers to assess their association with carcass traits. The g.3473A allele showed a significant increasing effect on CWT (P = 0.01) and the g.3631G allele was associated with higher marbling score (P = 0.006). One haplotype of these three SNPs (CAG) was significantly associated with CWT (P = 0.02) and marbling score (P = 0.05) and could potentially be of value for marker assisted selection in Hanwoo cattle. The CAG haplotype effect for CWT was larger (11.14 ± 5.03 kg) than the largest single locus effect of g.3473A>T (5.01 ± 2.2 kg).     

MC4R Variant Is Associated With BMI but Not Response to Resistance Training in Young Females

Recently, a genome‐wide association study (GWAS) that identified eight single‐nucleotide polymorphisms (SNPs) associated with BMI highlighted a possible neuronal influence on the development of obesity. We hypothesized these SNPs would govern the response of BMI and subcutaneous fat to resistance training in young individuals (age = 24 years). We genotyped the eight GWAS‐identified SNPs in the article by Willer et al. in a cohort (n = 796) that undertook a 12‐week resistance‐training program. Females with a copy of the rare allele (C) for rs17782313 (MC4R) had significantly higher BMIs (CC/CT: n = 174; 24.70 ± 0.33 kg/m², TT: n = 278; 23.41 ± 0.26 kg/m², P = 0.002), and the SNP explained 1.9% of overall variation in BMI. Males with a copy of the rare allele (T) for rs6548238 (TMEM18) had lower amounts of subcutaneous fat pretraining (CT/TT: n = 65; 156,534 ± 7,415 mm³, CC: n = 136; 177,825 ± 5,139 mm³, P = 0.019) and males with a copy of the rare allele (A) for rs9939609 (FTO) lost a significant amount of subcutaneous fat with exercise (AT/AA: n = 83; ?798.35 ± 2,624.30 mm³, TT: n = 47; 9,435.23 ± 3,494.44 mm³, P = 0.021). Females with a copy of the G allele for a missense variant in the SH2B1 (rs7498665) was associated with less change of subcutaneous fat volume with exercise (AG/GG: n = 191; 9,813 ± 2,250 mm³ vs. AA: n = 126; 770 ± 2,772 mm³; P = 0.011). These data support the original finding that there is an association between measures of obesity and a variant near the MC4R gene and extends these results to a younger population and implicates FTO, TMEM18, and SH2B1 polymorphisms in subcutaneous fat regulation.     

The Uyghur population and genetic susceptibility to type 2 diabetes: potential role for variants in CAPN10, APM1 and FUT6 genes

Genome‐wide association studies have successfully identified over 70 loci associated with the risk of type 2 diabetes mellitus (T2DM) in multiple populations of European ancestry. However, the risk attributable to an individual variant is modest and does not yet provide convincing evidence for clinical utility. Association between these established genetic variants and T2DM in general populations is hitherto understudied in the isolated populations, such as the Uyghurs, resident in Hetian, far southern Xinjiang Uyghur Autonomous Region, China. In this case–control study, we genotyped 13 single‐nucleotide polymorphisms (SNPs) at 10 genes associated with diabetes in 130 cases with T2DM and 135 healthy controls of Uyghur, a Chinese minority ethnic group. Three of the 13 SNPs demonstrated significant association with T2DM in the Uyghur population. There were significant differences between the T2DM patients and controls in the risk allele distributions of rs3792267 (CAPN10) (P = 0.002), rs1501299 (APM1) (P = 0.017), and rs3760776 (FUT6) (P = 0.031). Allelic carriers of rs3792267‐A, rs1501299‐T, and rs3760776‐T had a 2.24‐fold [OR (95% CI): 1.35–3.71], 0.59‐fold [OR (95% CI): 0.39–0.91], 0.57‐fold [OR (95% CI): 0.34–0.95] increased risk for T2DM respectively. We further confirmed that the cumulative risk allelic scores calculated from the 13 susceptibility loci for T2DM differed significantly between the T2DM patients and controls (P = 0.001), and the effect of obesity/overweight on T2DM was only observed in the subjects with a combined risk allelic score under a value of 17. This study observed that the SNPs rs3792267 in CAPN10, rs1501299 in APM1, and rs3760776 in FUT6 might serve as potential susceptible biomarkers for T2DM in Uyghurs. The cumulative risk allelic scores of multiple loci with modest individual effects are also significant risk factors in Uyghurs for T2DM, particularly among non‐obese individuals. This is the first investigation having observed/found genetic variations on genetic loci functionally linked with glycosylation associated with the risk of T2DM in a Uyghur population.     

Association study in eating disorders: TPH2 associates with anorexia nervosa and self‐induced vomiting

Twin studies suggest that genetic factors play a substantial role in anorexia nervosa (AN) and self‐induced vomiting (SV), a key symptom that is shared among different types of eating disorders (EDs). We investigated the association of 25 single nucleotide polymorphisms (SNPs), capturing 71–91% of the common variance in candidate genes, stathmin (STMN1), serotonin receptor 1D (HTR1D), tryptophan hydroxylase 2 (TPH2) and brain‐derived neurotrophic factor (BDNF), with AN and EDs characterized by regular SV. The first allele frequencies of all the SNPs were compared between a Dutch case group (182 AN, 149 EDs characterized by SV) and 607 controls. Associations rendering P‐values < 0.05 from this initial study were then tested for replication in a meta‐analysis with two additional independent ED case–control samples, together providing 887 AN cases, 306 cases with an ED characterized by SV and 1914 controls. A significant effect for the minor C‐allele of tryptophan hydroxylase 2 rs1473473 was observed for both AN [odds ratio (OR) = 1.30, 95% CI 1.08–1.57, P < 0.003] and EDs characterized by SV (OR = 1.52, 95% CI 1.28–2.04, P < 0.006). In the combined case group, a dominant effect was observed for rs1473473 (OR = 1.38, 95% CI 1.16–1.64, P < 0.0003). The meta‐analysis revealed that the tryptophan hydroxylase 2 polymorphism rs1473473 was associated with a higher risk for AN, EDs characterized by SV and for the combined group.     

Association of RBP4 Gene Variants and Serum HDL Cholesterol Levels in the Newfoundland Population

Retinol‐binding protein 4 (RBP4) is a novel adipokine that likely contributes to systemic insulin resistance and dyslipidemia. The role of genetic variations in RBP4 on phenotypes of glucose and lipid metabolism is not clear in humans. The purpose of this study was to examine five single‐nucleotide polymorphisms (SNPs) in the RBP4 gene to determine their relationship with markers of insulin resistance and serum lipids in the CODING Study. The CODING Study consists of 1,836 subjects recruited from the genetically homogeneous population of Newfoundland and Labrador (NL), Canada. Serum glucose, insulin, homeostasis model assessment of insulin resistance (HOMA_IR), HOMA for β cell function (HOMA_β), total cholesterol (Chol), high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), and triglycerides were determined after a 12‐h fast. Five SNPs within RBP4 (rs3758539, G/A 5′ flanking region; rs61461737, A/G intron; rs10882280, C/A intron; rs11187545, A/G intron; and rs12265684, C/G intron) were genotyped using TaqMan validated or functionally tested SNP genotyping assays. After correcting for multiple testing, we observed a significant association between the minor allele of two noncoding SNPs (rs10882280 and rs11187545) and higher serum HDL‐C (P = 0.043 and 0.042, respectively). No significant associations were observed with any other parameter related to lipid metabolism. We also found no significant association between any variant sites and markers of insulin resistance. Our results suggest that genetic variations in RBP4 may play a role in the differences in serum HDL‐C levels in the NL population.     

Associations of polymorphisms in TXNIP and gene–environment interactions with the risk of coronary artery disease in a Chinese Han population

Single nucleotide polymorphisms (SNPs) in thioredoxin‐interacting protein (TXNIP) gene may modulate TXNIP expression, then increase the risk of coronary artery disease (CAD). In a two‐stage case–control study with a total of 1818 CAD patients and 1963 controls, we genotyped three SNPs in TXNIP and found that the variant genotypes of SNPs rs7212 [odds ratio (OR) = 1.26, P = 0.001] and rs7211 (OR = 1.23, P = 0.005) were significantly associated with increased CAD risk under a dominant model. In haplotype analyses, compared with the reference haplotype, haplotype ‘G‐T’ had a 1.22‐fold increased risk of CAD (P = 0.003). We also observed the cumulative effects of SNPs rs7212 and rs7211 on CAD risk and the severity of coronary atherosclerosis. Moreover, the gene–environment interactions among the variant genotypes of SNP rs7212, smoking habit, alcohol drinking habit and history of type 2 diabetes were associated with a 3.70‐fold increased risk of CAD (P < 0.001). Subsequent genotype‐phenotype correlation analyses further observed the significant effects of SNP rs7212 on TXNIP mRNA expression, plasma TXNIP and malondialdehyde levels. Taken together, our data suggest that TXNIP SNPs may individually and cumulatively affect CAD risk through a possible mechanism for regulating TXNIP expression and gene–environment interactions.     

Variation in IGF2BP2 Interacts With Adiposity to Alter Insulin Sensitivity in Mexican Americans

Genome‐wide association studies showed variation in insulin‐like growth factor‐2 binding protein 2 (IGF2BP2) to be associated with type 2 diabetes mellitus (T2DM). We examined a 20‐kb region of IGF2BP2 for association with T2DM‐related quantitative traits in Mexican American families of a proband with gestational diabetes mellitus (GDM) from the BetaGene study. We genotyped 14 single‐nucleotide polymorphisms (SNPs) in 717 individuals from 146 families phenotyped by oral glucose tolerance test (OGTT), intravenous glucose tolerance tests (IVGTTs) with minimal model analysis, and dual‐energy X‐ray absorptiometry scan for percent body fat. Three SNPs and one SNP combination that captured the majority of the variation in the region were tested for association with T2DM‐related quantitative traits using a variance components framework. After correction for multiple testing, rs11705701 showed association with percent body fat (P_ACT = 0.041) with body fat decreasing ～1.5–2% per copy of the A allele. We next tested whether the interaction between rs11705701 and body fat was associated with T2DM‐relative quantitative traits. rs11705701 was significantly associated with insulin sensitivity (Bonferroni P = 0.028) and marginally associated with OGTT 2‐h insulin (Bonferroni P = 0.066) and disposition index (DI) (Bonferroni P = 0.072). We conclude that rs11705701 in IGF2BP2 is associated with body fat and this effect on body fat influences insulin resistance which may contribute to T2DM risk.     

Novel Obesity Risk Loci Do Not Determine Distribution of Body Fat Depots: A Whole‐body MRI/MRS study

A recent meta‐analysis of genome‐wide association studies has identified six new risk‐loci for common obesity. We studied whether these risk loci influence the distribution of body fat depots. We genotyped 1,469 nondiabetic subjects for the single‐nucleotide polymorphisms (SNPs) TMEM18 rs6548238, KCTD15 rs11084753, GNPDA2 rs10938397, SH2B1 rs7498665, MTCH2 rs10838738, and NEGR1 rs2815752. We assessed BMI, waist circumference, total body fat, and lean body mass (bioimpedance). All subjects underwent an oral glucose tolerance test (OGTT) for estimation of insulin sensitivity. In 332 subjects, we measured total adipose tissue (TAT), visceral adipose tissue (VAT), nonvisceral adipose tissue (NVAT), liver fat content, and intramyocellular lipids (IMCLs) using whole‐body magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS). In the dominant inheritance model, the risk alleles of TMEM18 rs6548238 and MTCH2 rs10838738 were nominally associated with higher BMI (P = 0.04, both). The risk allele of TMEM18 rs6548238 was additionally associated with higher waist circumference and total body fat (P ≤ 0.03), the risk allele of NEGR1 rs2815752 with higher waist circumference (P = 0.05) and unexpectedly with lower BMI (P = 0.01). In the MR cohort, we found an association of the risk allele of SH2B1 rs7498665 with higher VAT (P = 0.009) and of GNPDA2 rs10938397 with increased IMCLs (P = 0.03). After Bonferroni correction for multiple comparisons (corrected α‐level: P = 0.0085), none of the SNPs was significantly associated with measures of adiposity or body fat distribution (all P > 0.009, dominant inheritance model). Therefore, our results suggest that these new obesity SNPs, despite their influence on BMI, are neither associated with a metabolically unfavorable nor with a favorable body composition.