OBJECTIVEProinsulin is a precursor of mature insulin and C-peptide. Higher circulating proinsulin levels are associated with impaired β-cell function, raised glucose levels, insulin resistance, and type 2 diabetes (T2D). Studies of the insulin processing pathway could provide new insights about T2D pathophysiology.RESEARCH DESIGN AND METHODSWe have conducted a meta-analysis of genome-wide association tests of ∼2.5 million genotyped or imputed single nucleotide polymorphisms (SNPs) and fasting proinsulin levels in 10,701 nondiabetic adults of European ancestry, with follow-up of 23 loci in up to 16,378 individuals, using additive genetic models adjusted for age, sex, fasting insulin, and study-specific covariates.RESULTSNine SNPs at eight loci were associated with proinsulin levels (P < 5 × 10−8). Two loci (LARP6 and SGSM2) have not been previously related to metabolic traits, one (MADD) has been associated with fasting glucose, one (PCSK1) has been implicated in obesity, and four (TCF7L2, SLC30A8, VPS13C/C2CD4A/B, and ARAP1, formerly CENTD2) increase T2D risk. The proinsulin-raising allele of ARAP1 was associated with a lower fasting glucose (P = 1.7 × 10−4), improved β-cell function (P = 1.1 × 10−5), and lower risk of T2D (odds ratio 0.88; P = 7.8 × 10−6). Notably, PCSK1 encodes the protein prohormone convertase 1/3, the first enzyme in the insulin processing pathway. A genotype score composed of the nine proinsulin-raising alleles was not associated with coronary disease in two large case-control datasets.CONCLUSIONSWe have identified nine genetic variants associated with fasting proinsulin. Our findings illuminate the biology underlying glucose homeostasis and T2D development in humans and argue against a direct role of proinsulin in coronary artery disease pathogenesis.

Diabetic kidney disease, or diabetic nephropathy (DN), is a major complication of diabetes and the leading cause of end-stage renal disease (ESRD) that requires dialysis treatment or kidney transplantation. In addition to the decrease in the quality of life, DN accounts for a large proportion of the excess mortality associated with type 1 diabetes (T1D). Whereas the degree of glycemia plays a pivotal role in DN, a subset of individuals with poorly controlled T1D do not develop DN. Furthermore, strong familial aggregation supports genetic susceptibility to DN. However, the genes and the molecular mechanisms behind the disease remain poorly understood, and current therapeutic strategies rarely result in reversal of DN. In the GEnetics of Nephropathy: an International Effort (GENIE) consortium, we have undertaken a meta-analysis of genome-wide association studies (GWAS) of T1D DN comprising ∼2.4 million single nucleotide polymorphisms (SNPs) imputed in 6,691 individuals. After additional genotyping of 41 top ranked SNPs representing 24 independent signals in 5,873 individuals, combined meta-analysis revealed association of two SNPs with ESRD: rs7583877 in the AFF3 gene (P = 1.2×10−8) and an intergenic SNP on chromosome 15q26 between the genes RGMA and MCTP2, rs12437854 (P = 2.0×10−9). Functional data suggest that AFF3 influences renal tubule fibrosis via the transforming growth factor-beta (TGF-β1) pathway. The strongest association with DN as a primary phenotype was seen for an intronic SNP in the ERBB4 gene (rs7588550, P = 2.1×10−7), a gene with type 2 diabetes DN differential expression and in the same intron as a variant with cis-eQTL expression of ERBB4. All these detected associations represent new signals in the pathogenesis of DN.

BackgroundAlthough diabetic kidney disease demonstrates both familial clustering and single nucleotide polymorphism heritability, the specific genetic factors influencing risk remain largely unknown.MethodsTo identify genetic variants predisposing to diabetic kidney disease, we performed genome-wide association study (GWAS) analyses. Through collaboration with the Diabetes Nephropathy Collaborative Research Initiative, we assembled a large collection of type 1 diabetes cohorts with harmonized diabetic kidney disease phenotypes. We used a spectrum of ten diabetic kidney disease definitions based on albuminuria and renal function.ResultsOur GWAS meta-analysis included association results for up to 19,406 individuals of European descent with type 1 diabetes. We identified 16 genome-wide significant risk loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM). Mutations in COL4A3 are implicated in heritable nephropathies, including the progressive inherited nephropathy Alport syndrome. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of diabetic kidney disease, including albuminuria and ESKD, and demonstrated a significant association with GBM width; protective allele carriers had thinner GBM before any signs of kidney disease, and its effect was dependent on glycemia. Three other loci are in or near genes with known or suggestive involvement in this condition (BMP7) or renal biology (COLEC11 and DDR1).ConclusionsThe 16 diabetic kidney disease–associated loci may provide novel insights into the pathogenesis of this condition and help identify potential biologic targets for prevention and treatment.

Adiponectin (APM1) is an adipocyte-derived peptide.The APM1 gene is located on chromosome 3q27 and linked to type 2 diabetes. In patients with type 2 diabetes, the adiponectin level in plasma is decreased in comparison to healthy subjects. To identify genetic defects of the APM1 gene that contribute to the development of type 2 diabetes, we genotyped 13 single nucleotide polymorphisms (SNPs) in 106 patients with type 2 diabetes, 325 patients with impaired glucose tolerance (IGT), and 497 nondiabetic control subjects in Swedish Caucasians by using dynamic allele-specific hybridization (DASH). We found that SNPs ؊11426(A/G) and ؊11377(G/C) in the proximal promoter region had significant differences of allele frequencies between type 2 diabetic patients and nondiabetic control subjects (P ‫؍‬ 0.02 and P ‫؍‬ 0.04, respectively). SNP-11426(A/G) was significantly associated with fasting plasma glucose in type 2 diabetic patients (P ‫؍‬ 0.02) and in IGT subjects (P ‫؍‬ 0.04), while the patients carrying CC and CG genotypes for SNP-11377(G/C) had a higher BMI than the patients with the GG genotype (P ‫؍‬ 0.03). Haplotype analysis of 13 SNPs in the APM1 gene showed that estimates of haplotype frequencies in Swedish Caucasians are similar to those estimated in French Caucasians. However, no significant association of haplotypes with type 2 diabetes and IGT was detected in our study. The present study provides additional evidence that SNPs in the proximal promoter region of the APM1 gene contribute to the development of type 2 diabetes. Diabetes 53 (Suppl. 1):S31-S35, 2004 A diponectin (APM1, also known as ACRP30, GBP28, or AdipoQ) is secreted from adipose tissue and regulates insulin sensitivity (1,2). The APM1 gene has been identified and is located on chromosome 3q27 (3-5). In this chromosome region, genome-wide scans have revealed a susceptibility locus for type 2 diabetes (6), coronary heart disease (7), and measures of adiposity (8). Several studies have demonstrated that the adiponectin level in plasma is decreased in patients with type 2 diabetes or obesity in comparison to healthy subjects (9,10). Thus, adiponectin may play a role in the pathogenesis of type 2 diabetes and insulin resistance. Recently, mutation screening of the APM1 gene in Japanese and French populations was performed, and 13 single nucleotide polymorphisms (SNPs) were found in the APM1 gene (11,12). SNPs ϩ45T/G and ϩ276G/T in exon 2 and intron 2, respectively, of the APM1 gene were found to be significantly associated with type 2 diabetes in Japanese patients with normal body weight (BMI Ͻ24 kg/m 2 ) mainly due to decreased insulin sensitivity (11). Stumvoll et al. (13) demonstrated that SNP ϩ45T/G in the APM1 gene increases the risk for obesity and secondarily for insulin resistance in nondiabetic Caucasians of German ancestry. Furthermore, in another group of nondiabetic Caucasians, a haplotype defined by SNPs ϩ45T/G and ϩ276G/T was strongly associated with many components of the insulin resistance syndrome (14).A recent report from French Ca...

We studied whether there is an association between the single nucleotide polymorphism c.533A>C (K121Q) in the glycoprotein PC-1 gene and features of the metabolic syndrome in case-control and intrafamily association studies in 922 subjects from Finland and Sweden. No difference was observed in the Q allele frequency between control subjects and type 2 diabetic subjects (12.9 vs. 15.1%). The QK genotype was associated with higher fasting plasma glucose (FPG) concentrations than the KK genotype in type 2 diabetic patients (P <0.001) and their relatives (P <0.05). A permutation test of siblings discordant for the QK and KK genotypes also showed that the nondiabetic siblings with the QK genotype had higher FPG (6.1 ± 2.0 vs. 5.4 ± 0.6 mmol/l, P <0.001) and fasting insulin (7.0 ± 3.6 vs. 4.8 ± 2.6 mU/l, P <0.05) concentrations than the carriers of the KK genotype. In addition, diabetic siblings with the QK genotype had higher systolic blood pressure (147.0 ± 18.0 vs. 140.0 ± 18.7 mmHg, P <0.05) and higher fasting (9.9 ± 3.0 vs. 8.8 ± 2.8 mmol/l, P <0.05) and 2-h plasma glucose (17.3 ± 8.5 vs. 12.9 ± 4.2 mmol/l, P < 0.05) concentrations than the diabetic carriers of the KK genotype. The present study shows that, although the Q allele of the human glycoprotein PC-1 gene is associated with surrogate measures of insulin resistance, it may not be enough to increase the susceptibility to type 2 diabetes.

Communicated by Richard G. H. CottonLinkage studies have identified a large (460-Mb) region on chromosome 10q that segregates with Alzheimer Disease (AD). Within the region, the gene for insulin degrading enzyme (IDE) represents a notable biological candidate given that it degrades amyloid b-protein (one of the major constituents of senile plaques) and the intracellular amyloid precursor protein (APP) domain released by c-secretase processing. We have used a single nucleotide polymorphism (SNP) genetic association strategy to investigate AD in relation to a 480-kb region encompassing IDE. A 276-kb linkage disequilibrium block was revealed that spans three genes (IDE, KNSL1, and HHEX). Assessing this block in several independent sets of case-control materials (early-and late-onset AD) and focusing also upon quantitative measures that are pertinent to AD diagnosis and severity (MMSE scores, microtubule-associated protein Tau [MAPT] levels in CSF, degree of brain pathology, and age-at-onset) produced extensive evidence for significant AD association. Signals (p-values ranging from 0.05 to o1 Â 10 À9 ) were generally stronger when examining haplotypes rather than individual SNPs, and quantitative trait tests most uniformly revealed the detected associations. Consistent risk alleles and haplotypes were apparent across the study, with effects in some cases as large as that of the e4 allele of APOE. A subsequent mutation screen of exons in all three suspect genes provided no evidence for common causative mutations. These results provide substantial evidence that genetic variation within or extremely close to IDE impacts both disease risk and traits related to the severity of AD.

A higher intake of whole grain is associated with decreased risk of deteriorating glucose tolerance including progression from normal glucose tolerance to prediabetes by mechanisms likely tied to effects on insulin sensitivity. Effect modifications by TCF7L2 genetic polymorphisms are supported.

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