Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011860 (type 2 diabetes)
 57,723 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Type 2 diabetes mellitus results from the interaction of environmental factors with a combination of genetic variants, most of which were hitherto unknown. A systematic search for these variants was recently made possible by the development of high-density arrays that permit the genotyping of hundreds of thousands of polymorphisms. We tested 392,935 single-nucleotide polymorphisms in a French case-control cohort. Markers with the most significant difference in genotype frequencies between cases of type 2 diabetes and controls were fast-tracked for testing in a second cohort. This identified four loci containing variants that confer type 2 diabetes risk, in addition to confirming the known association with the TCF7L2 gene. These loci include a non-synonymous polymorphism in the zinc transporter SLC30A8, which is expressed exclusively in insulin-producing beta-cells, and two linkage disequilibrium blocks that contain genes potentially involved in beta-cell development or function (IDE-KIF11-HHEX and EXT2-ALX4). These associations explain a substantial portion of disease risk and constitute proof of principle for the genome-wide approach to the elucidation of complex genetic traits.
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PMID:A genome-wide association study identifies novel risk loci for type 2 diabetes. 1729 79

New strategies for prevention and treatment of type 2 diabetes (T2D) require improved insight into disease etiology. We analyzed 386,731 common single-nucleotide polymorphisms (SNPs) in 1464 patients with T2D and 1467 matched controls, each characterized for measures of glucose metabolism, lipids, obesity, and blood pressure. With collaborators (FUSION and WTCCC/UKT2D), we identified and confirmed three loci associated with T2D-in a noncoding region near CDKN2A and CDKN2B, in an intron of IGF2BP2, and an intron of CDKAL1-and replicated associations near HHEX and in SLC30A8 found by a recent whole-genome association study. We identified and confirmed association of a SNP in an intron of glucokinase regulatory protein (GCKR) with serum triglycerides. The discovery of associated variants in unsuspected genes and outside coding regions illustrates the ability of genome-wide association studies to provide potentially important clues to the pathogenesis of common diseases.
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PMID:Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. 1746 46

Identifying the genetic variants that increase the risk of type 2 diabetes (T2D) in humans has been a formidable challenge. Adopting a genome-wide association strategy, we genotyped 1161 Finnish T2D cases and 1174 Finnish normal glucose-tolerant (NGT) controls with >315,000 single-nucleotide polymorphisms (SNPs) and imputed genotypes for an additional >2 million autosomal SNPs. We carried out association analysis with these SNPs to identify genetic variants that predispose to T2D, compared our T2D association results with the results of two similar studies, and genotyped 80 SNPs in an additional 1215 Finnish T2D cases and 1258 Finnish NGT controls. We identify T2D-associated variants in an intergenic region of chromosome 11p12, contribute to the identification of T2D-associated variants near the genes IGF2BP2 and CDKAL1 and the region of CDKN2A and CDKN2B, and confirm that variants near TCF7L2, SLC30A8, HHEX, FTO, PPARG, and KCNJ11 are associated with T2D risk. This brings the number of T2D loci now confidently identified to at least 10.
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PMID:A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. 1746 48

The molecular mechanisms involved in the development of type 2 diabetes are poorly understood. Starting from genome-wide genotype data for 1924 diabetic cases and 2938 population controls generated by the Wellcome Trust Case Control Consortium, we set out to detect replicated diabetes association signals through analysis of 3757 additional cases and 5346 controls and by integration of our findings with equivalent data from other international consortia. We detected diabetes susceptibility loci in and around the genes CDKAL1, CDKN2A/CDKN2B, and IGF2BP2 and confirmed the recently described associations at HHEX/IDE and SLC30A8. Our findings provide insight into the genetic architecture of type 2 diabetes, emphasizing the contribution of multiple variants of modest effect. The regions identified underscore the importance of pathways influencing pancreatic beta cell development and function in the etiology of type 2 diabetes.
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PMID:Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. 1746 49

Recently, Genome Wide Association (GWA) studies identified novel single nucleotide polymorphisms (SNPs), highly associated with type 2 diabetes (T2D) in several case-control studies of European descent. However, the impact of these markers on glucose homeostasis in a population-based study remains to be clarified. The French prospective D.E.S.I.R. study (N = 4,707) was genotyped for 22 polymorphisms within 14 loci showing nominal to strong association with T2D in recently published GWA analyses (CDKAL1, IGFBP2, CDKN2A/2B, EXT2, HHEX, LOC646279, SLC30A8, MMP26, KCTD12, LDLR, CAMTA1, LOC38776, NGN3 and CXCR4). We assessed their effects on quantitative traits related to glucose homeostasis in 4,283 normoglycemic middle-aged participants at baseline and their contribution to T2D incidence during 9 years of follow-up. Individuals carrying T2D risk alleles of CDKAL1 or SLC30A8 had lower fasting plasma insulin level (rs7756992 P = 0.003) or lower basal insulin secretion (rs13266634 P = 0.0005), respectively, than non-carriers. Furthermore, NGN3 and MMP26 risk alleles associated with higher fasting plasma glucose levels (rs10823406 P = 0.01 and rs2499953 P = 0.04, respectively). However, for these SNPs, only modest associations were found with a higher incidence of T2D: hazard ratios of 2.03 [1.00-4.11] for MMP26 (rs2499953 P = 0.05) and 1.33 [1.02-1.73] for NGN3 (rs10823406 P = 0.03). We confirmed deleterious effects of SLC30A8, CDKAL1, NGN3 and MMP26 risk alleles on glucose homeostasis in the D.E.S.I.R. prospective cohort. However, in contrast to TCF7L2, the contribution of novel loci to T2D incidence seems only modest in the general middle-aged French population and should be replicated in larger cohorts.
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PMID:Analysis of novel risk loci for type 2 diabetes in a general French population: the D.E.S.I.R. study. 1821 30

Genome-wide association scans in type 2 diabetes (T2D) have identified a risk variant, rs13266634 (Arg325Trp), in SLC30A8 on chromosome 8. SLC30A8 encodes a beta-cell specific zinc-ion transporter and rs13266634 has been shown to affect insulin secretion. Recently, autoantibodies for Slc30A8 with high predictive value were demonstrated in individuals with type 1 diabetes (T1D), making this gene an interesting T1D candidate gene. We genotyped rs13266634 in 3008 cases and controls and 246 families from Denmark. Association to T1D could not be demonstrated.
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PMID:A non-synonymous variant in SLC30A8 is not associated with type 1 diabetes in the Danish population. 1840 May 35

It was recently shown that the major allele of the SLC30A8 (zinc transporter 8, ZnT8) single nucleotide polymorphism (SNP) rs13266634 was associated with type 2 diabetes and with reduced insulin secretion in non-diabetic relatives. Because of its role in beta-cell function, we hypothesized that this candidate SNP may confer increased susceptibility for beta-cell destruction in type 1 diabetes. We analyzed SLC30A8 genotypes in 874 patients with type 1 diabetes and 1021 control subjects. No difference in allele and genotype frequencies of the SLC30A8 SNP rs13266634 was found between patients and controls. Analysis with respect to age at type 1 diabetes onset, however, showed that patients with a diabetes onset before age 5 years had an increased prevalence of the cytosine (C) allele (risk allele, 82%) and the homozygous CC genotype (65%) compared to patients who developed type 1 diabetes after age 5 years (67% and 49%; p < 0.01) and compared to controls (69% and 48%; p < 0.03). These data suggest that genetic susceptibility for beta-cell dysfunction in the presence of autoimmunity may lead to accelerated progression and early manifestation of the disease.
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PMID:SLC30A8 (ZnT8) Polymorphism is Associated with Young Age at Type 1 Diabetes Onset. 1854 67

The promise of nutrigenomics is of personalized nutrition that will lead to optimization or maintenance of good health and/or prevention of the development of chronic diseases. Type 2 diabetes mellitus (T2DM) is a leading health problem throughout the world. Adherence to a Mediterranean-style diet, regulation of carbohydrate intake, and regular exercise may be desirable. Four key genes were originally identified: KCNJ11, potassium inwardly rectifying channel, subfamily J, member 11 gene; PPAR-gamma, peroxisome proliferator activated receptor-gamma; TCF2, transcription factor 2, hepatic; WFS1, Wolfram syndrome 1. However, genome-wide association studies are accelerating our knowledge of the genetics of complex diseases, and have identified seven other key genes in T2DM: CDKAL1, CDK5 regulatory subunit associated protein-like 1; CDKN2, cyclin-dependent kinase inhibitor 2A; FTO, fat mass and obesity associated; HHEX, haematopoietically expressed homeobox; IDE, insulin-degrading enzyme; IGF2BP2, insulin-like growth factor 2 mRNA-binding protein 2; SLC30A8, solute carrier family 30 (zinc transporter), member 8; TCF7L2, transcription factor 7-like 2 (T-cell specific, HMG-box). Gene-nutrient or gene-environment interactions may be important. For example, the PPAR-gamma variant genotype is responsive to different types and levels of lipids, while the effect of the FTO variant can be partly overcome by exercise. Several of these genes act through their effect on the gastrointestinal tract. There are analytical challenges in analyzing the high-dimensional datasets relating genes, nutrients, and other variables to their influence on health and disease processes. An even greater challenge may be in implementing population level changes in diet and behavior to fully exploit the potential of this field.
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PMID:Dissecting the nutrigenomics, diabetes, and gastrointestinal disease interface: from risk assessment to health intervention. 1871 Mar 64

A finely tuned subcellular distribution of zinc (Zn), through the coordinated action of Zn transporters (ZnTs) and metallothioneins (MTs), is crucial for optimal cell function. Dysfunctions of these proteins might act as key causative or promoting factors in several chronic pathologies. Evidence of their involvement in the pathogenesis of type 2 diabetes (DM2) is emerging. The association of single nucleotide polymorphisms in genes encoding ZnT-8 and MT with DM2 has drawn attention to the relevance of Zn homeostasis for insulin secretory capacity and responsiveness. Here, we propose that potential mechanisms leading to altered subcellular Zn distribution rather than deficiency might be important in DM2. Increasing knowledge of the mechanisms of Zn homeostasis and signalling should promote the development of targeted interventions with the potential to reduce the burden of disease.
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PMID:Zinc signalling and subcellular distribution: emerging targets in type 2 diabetes. 1877 38

According to recent genome-wide association studies, a number of single nucleotide polymorphisms (SNPs) are reported to be associated with type 2 diabetes mellitus (T2DM). The aim of the present study was to investigate the association among the polymorphisms of SLC30A8, HHEX, CDKN2A/B, IGF2BP2, FTO, WFS1, CDKAL1 and KCNQ1 and the risk of T2DM in the Korean population. This study was based on a multicenter case-control study, including 908 patients with T2DM and 502 non-diabetic controls. We genotyped rs13266634, rs1111875, rs10811661, rs4402960, rs8050136, rs734312, rs7754840 and rs2237892 and measured the body weight, body mass index and fasting plasma glucose in all patients and controls. The strongest association was found in a variant of CDKAL1 [rs7754840, odds ratio (OR) = 1.77, 95% CI = 1.50-2.10, p = 5.0 x 10(-11)]. The G allele of rs1111875 (OR = 1.43, 95% CI = 1.18-1.72, p = 1.8 x 10(-4)) in HHEX), the T allele of rs10811661 (OR = 1.47, 95% CI = 1.23-1.75, p = 2.1 x 10(-5)) in CDKN2A/B) and the C allele of rs2237892 (OR = 1.31, 95% CI = 1.10-1.56, p = 0.003) in KCNQ1 showed significant associations with T2DM. Rs13266634 (OR = 1.19, 95% CI = 1.00-1.42, p = 0.045) in SLC30A8 showed a nominal association with the risk of T2DM, whereas SNPs in IGF2BP2, FTO and WFS1 were not associated. In conclusion, we have shown that SNPs in HHEX, CDKN2A/B, CDKAL1, KCNQ1 and SLC30A8 confer a risk of T2DM in the Korean population.
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PMID:Association between polymorphisms in SLC30A8, HHEX, CDKN2A/B, IGF2BP2, FTO, WFS1, CDKAL1, KCNQ1 and type 2 diabetes in the Korean population. 1899 Oct 55


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