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Query: UMLS:C0011860 (
type 2 diabetes
)
57,723
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
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.
...
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
To systematically evaluate genetic susceptibility to
type 2 diabetes
(T2D) in "candidate" regions on chromosomes 1q, 3q and 12q, we examined disease association by using a total of 2,083 SNPs in two-step screening; a screening panel comprised 473 cases and 285 controls and an extended (or combined) panel involved 658 cases and 474 controls. For the total interval screened (40.9 Mb), suggestive evidence of association was provided for several annotated gene loci. For example, in the MCF2L2 gene on 3q, a significant association (a nominal P value of 0.00009) was observed when logistic regression analysis was performed for three associated SNPs (rs684846, rs35069869 and rs35368790) that belonged to different LD groups. Also, in the SLC15A4 gene on 12q, rs3765108 showed a marginally significant association with an overall estimated odds ratio of 0.79 (P=0.001). No significant association was found for known candidate gene loci on 3q, such as ADIPOQ and
IGF2BP2
. Using the available samples, we have observed disease associations of SNPs derived from two novel gene loci in the Japanese population through high-density searches of diabetes susceptibility in three chromosomal regions. Independent replication will clarify the etiological relevance of these genomic loci to T2D.
...
PMID:Search for type 2 diabetes susceptibility genes on chromosomes 1q, 3q and 12q. 1825 84
Genome-wide association (GWA) studies identified novel gene variants that are associated with
type 2 diabetes
. However, results were not always consistent across different populations. Thus, the aims of this study were (i) to replicate findings from previous GWA studies in mainly Northern European populations using data from the German KORA 500 K diabetes project and (ii) to assess the impact of BMI on associations between single nucleotide polymorphisms (SNPs) and
type 2 diabetes
. The KORA 500 K diabetes project includes 433 cases with validated
type 2 diabetes
and 1 438 nondiabetic controls from two population-based KORA surveys. Genotyping was performed using the Affymetrix GeneChip Human Mapping 500 K Array Set. We investigated associations between SNPs and
type 2 diabetes
in 10 genes that have been reported to increase the risk of
type 2 diabetes
or were in complete or near-complete linkage disequilibrium with these variants. SNPs in the CDKAL1 gene showed the strongest association with
type 2 diabetes
[range of age and sex-adjusted odds ratios (OR): 1.30-1.39, p-values 0.0008-0.0004]. In addition, we found evidence for association of SNPs in the genes PPARG,
IGF2BP2
, HHEX, TCF7L2, and FTO with
type 2 diabetes
in the same directions as previously described (p<0.05), but not for WFS1, CDKN2A/B, KCNJ11, or EXT2. Adjustment for BMI slightly strengthened the link between CDKAL1 and
type 2 diabetes
, but had almost no impact on the other associations. We conclude that gene variants of CDKAL1, PPARG,
IGF2BP2
, HHEX, TCF7L2, and FTO predispose to
type 2 diabetes
in the German KORA 500 K study population. These associations appear to be independent of BMI.
...
PMID:Variants of the PPARG, IGF2BP2, CDKAL1, HHEX, and TCF7L2 genes confer risk of type 2 diabetes independently of BMI in the German KORA studies. 1859 14
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.
...
PMID:Dissecting the nutrigenomics, diabetes, and gastrointestinal disease interface: from risk assessment to health intervention. 1871 Mar 64
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.
...
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
Several single nucleotide polymorphisms (SNPs) for
type 2 diabetes
mellitus (T2DM) risk have been identified by genome wide association studies (GWAS). The objective of the present study was to investigate the impact of these SNPs on T2DM intermediate phenotypes in order to clarify the physiological mechanisms through which they exert their effects on disease etiology. We analysed 23 SNPs in 9 T2DM genes (CDKAL1, CDKN2B, HHEX/IDE,
IGF2BP2
, KCNJ11, SLC30A8, TCF2, TCF7L2 and WFS1) in a maximum of 712 men and women from the Quebec Family Study. The participants underwent a 75 g oral glucose tolerance test (OGTT) and were measured for glucose, insulin and C-peptide levels. Indices of insulin sensitivity and insulin secretion were derived from fasting and OGTT measurements. We confirmed the significant associations of variants in CDKAL1, CDKN2B, HHEX/IDE, KCNJ11 and TCF7L2 with insulin secretion and also found associations of some of these variants with insulin sensitivity and glucose tolerance.
IGF2BP2
and SLC30A8 SNPs were not associated with insulin secretion but were with insulin sensitivity and glucose tolerance (0.002 <or= P <or= 0.02). To examine the joint effects of these variants and their contribution to T2DM endophenotypes variance, stepwise regression models were used and the model R (2) was computed. The variance in the phenotypes explained by combinations of variants ranged from 2.0 to 8.5%. Diabetes-associated variants in CDKAL1, CDKN2B, HHEX/IDE,
IGF2BP2
, KCNJ11, SLC30A8 and TCF7L2 are associated with physiological alterations leading to T2DM, such as glucose intolerance, impaired insulin secretion or insulin resistance, supporting their role in the disease aetiology. These variants were found to account for 2.0-8.5% of the variance of T2DM-related traits.
...
PMID:Association between insulin secretion, insulin sensitivity and type 2 diabetes susceptibility variants identified in genome-wide association studies. 1908 21
Prediction of the disease status is one of the most important objectives of genetic studies. To select the genes with strong evidence of the association with
type 2 diabetes
mellitus, we validated the associations of the seven candidate loci extracted in our earlier study by genotyping the samples in two independent sample panels. However, except for KCNQ1, the association of none of the remaining seven loci was replicated. We then selected 11 genes, KCNQ1, TCF7L2, CDKAL1, CDKN2A/B,
IGF2BP2
, SLC30A8, HHEX, GCKR, HNF1B, KCNJ11 and PPARG, whose associations with diabetes have already been reported and replicated either in the literature or in this study in the Japanese population. As no evidence of the gene-gene interaction for any pair of the 11 loci was shown, we constructed a prediction model for the disease using the logistic regression analysis by incorporating the number of the risk alleles for the 11 genes, as well as age, sex and body mass index as independent variables. Cumulative risk assessment showed that the addition of one risk allele resulted in an average increase in the odds for the disease of 1.29 (95% CI=1.25-1.33, P=5.4 x 10(-53)). The area under the receiver operating characteristic curve, an estimate of the power of the prediction model, was 0.72, thereby indicating that our prediction model for
type 2 diabetes
may not be so useful but has some value. Incorporation of data from additional risk loci is most likely to increase the predictive power.
...
PMID:Construction of a prediction model for type 2 diabetes mellitus in the Japanese population based on 11 genes with strong evidence of the association. 1924 72
Recent genome-wide association (GWA) studies of
type 2 diabetes
(T2D) have implicated IGF2 mRNA-binding protein 2 (IMP2/
IGF2BP2
) as one of the several factors in the etiology of late onset diabetes. IMP2 belongs to a family of oncofetal mRNA-binding proteins implicated in RNA localization, stability, and translation that are essential for normal embryonic growth and development. This review provides a background to the IMP protein family with an emphasis on human IMP2, followed by a closer look at the GWA studies to evaluate the significance, if any, of the proposed correlation between IMP2 and T2D.
...
PMID:IGF2 mRNA-binding protein 2: biological function and putative role in type 2 diabetes. 1942 74
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