Variants in MTNR1B influence fasting glucose levels.
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ABSTRACT:
SUBMITTER: Prokopenko I
PROVIDER: S-EPMC2682768 | biostudies-literature | 2009 Jan
REPOSITORIES: biostudies-literature
Publications
Variants in MTNR1B influence fasting glucose levels.
Prokopenko Inga I Langenberg Claudia C Florez Jose C JC Saxena Richa R Soranzo Nicole N Thorleifsson Gudmar G Loos Ruth J F RJ Manning Alisa K AK Jackson Anne U AU Aulchenko Yurii Y Potter Simon C SC Erdos Michael R MR Sanna Serena S Hottenga Jouke-Jan JJ Wheeler Eleanor E Kaakinen Marika M Lyssenko Valeriya V Chen Wei-Min WM Ahmadi Kourosh K Beckmann Jacques S JS Bergman Richard N RN Bochud Murielle M Bonnycastle Lori L LL Buchanan Thomas A TA Cao Antonio A Cervino Alessandra A Coin Lachlan L Collins Francis S FS Crisponi Laura L de Geus Eco J C EJ Dehghan Abbas A Deloukas Panos P Doney Alex S F AS Elliott Paul P Freimer Nelson N Gateva Vesela V Herder Christian C Hofman Albert A Hughes Thomas E TE Hunt Sarah S Illig Thomas T Inouye Michael M Isomaa Bo B Johnson Toby T Kong Augustine A Krestyaninova Maria M Kuusisto Johanna J Laakso Markku M Lim Noha N Lindblad Ulf U Lindgren Cecilia M CM McCann Owen T OT Mohlke Karen L KL Morris Andrew D AD Naitza Silvia S Orrù Marco M Palmer Colin N A CN Pouta Anneli A Randall Joshua J Rathmann Wolfgang W Saramies Jouko J Scheet Paul P Scott Laura J LJ Scuteri Angelo A Sharp Stephen S Sijbrands Eric E Smit Jan H JH Song Kijoung K Steinthorsdottir Valgerdur V Stringham Heather M HM Tuomi Tiinamaija T Tuomilehto Jaakko J Uitterlinden André G AG Voight Benjamin F BF Waterworth Dawn D Wichmann H-Erich HE Willemsen Gonneke G Witteman Jacqueline C M JC Yuan Xin X Zhao Jing Hua JH Zeggini Eleftheria E Schlessinger David D Sandhu Manjinder M Boomsma Dorret I DI Uda Manuela M Spector Tim D TD Penninx Brenda Wjh BW Altshuler David D Vollenweider Peter P Jarvelin Marjo Riitta MR Lakatta Edward E Waeber Gerard G Fox Caroline S CS Peltonen Leena L Groop Leif C LC Mooser Vincent V Cupples L Adrienne LA Thorsteinsdottir Unnur U Boehnke Michael M Barroso Inês I Van Duijn Cornelia C Dupuis Josée J Watanabe Richard M RM Stefansson Kari K McCarthy Mark I MI Wareham Nicholas J NJ Meigs James B JB Abecasis Gonçalo R GR
Nature genetics 20081207 1
To identify previously unknown genetic loci associated with fasting glucose concentrations, we examined the leading association signals in ten genome-wide association scans involving a total of 36,610 individuals of European descent. Variants in the gene encoding melatonin receptor 1B (MTNR1B) were consistently associated with fasting glucose across all ten studies. The strongest signal was observed at rs10830963, where each G allele (frequency 0.30 in HapMap CEU) was associated with an increase ...[more]
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Project description:AIMS:We aimed to identify whether the risk G-allele was associated with fasting glucose level and other pre-diabetic and obesity-related phenotypes in Chinese children and adolescents. METHODS:The rs10830963 polymorphism in MTNR1B was genotyped in 2,030 Chinese children and adolescents of two independent studies. Association with fasting glucose levels and risk of impaired fasting glucose (IFG) were initially tested. Subsequently we analyzed the association with fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR) and for beta cell function (HOMA-B), the quantitative insulin sensitivity check index (QUICK) and obesity-related phenotypes (BMI standard deviation score, waist circumference etc.). RESULTS:The G-allele of rs10830963 was associated with increased fasting glucose level in Chinese children and adolescents (increase of 0.072 mmol/l per G-allele, 95% CI 0.034-0.111, p = 2.46 × 10(-4)). The G-allele was also associated with an increased risk of IFG (OR = 1.21, 95% CI 1.00-1.46, nominal p = 0.048). We found the glucose-raising G-allele was nominally associated with reduced HOMA-B. No association to other pre-diabetic or obesity-related phenotypes was detected. CONCLUSIONS:The rs10830963 polymorphism in MTNR1B was associated with increased fasting glucose and risk of IFG in Chinese children and adolescents. The effect may result from reduced pancreatic beta cell function, but the mechanism awaits further studies.
| S-EPMC6444495 | biostudies-literature
Project description:Common genetic variants have been associated with type 2 diabetes. We hypothesised that a subset of these variants may have different effects on the transition from normal fasting glucose (NFG) to impaired fasting glucose (IFG) than on that from IFG to diabetes.We identified 16 type 2 diabetes risk variants from the Illumina Broad Candidate-gene Association Resource (CARe) array genotyped in 26,576 CARe participants. Participants were categorised at baseline as NFG, IFG or type 2 diabetic (n = 16,465, 8,017 or 2,291, respectively). Using Cox proportional hazards and likelihood ratio tests (LRTs), we compared rates of progression by genotype for 4,909 (NFG to IFG) and 1,518 (IFG to type 2 diabetes) individuals, respectively. We then performed multinomial regression analyses at baseline, comparing the risk of assignment to the NFG, IFG or diabetes groups by genotype.The rate of progression from NFG to IFG was significantly greater in participants carrying the risk allele at MTNR1B (p = 1 × 10(-4)), nominally greater at GCK and SLC30A8 (p < 0.05) and nominally smaller at IGF2BP2 (p = 0.01) than the rate of progression from IFG to diabetes by the LRT. Results of the baseline, multinomial regression model were consistent with these findings.Common genetic risk variants at GCK, SLC30A8, IGF2BP2 and MTNR1B influence to different extents the development of IFG and the transition from IFG to type 2 diabetes. Our findings may have implications for understanding the genetic contribution of these variants to the development of IFG and type 2 diabetes.
| S-EPMC3589986 | biostudies-literature
Project description:BackgroundThe evidence that the variants GCK rs1799884, GCKR rs780094, MTNR1B rs10830963 and G6PC2 rs560887, which are related to fasting plasma glucose levels, increase the risk of type 2 diabetes mellitus (T2DM) is contradictory. We therefore performed a meta-analysis to derive a more precise estimation of the association between these polymorphisms and T2DM.MethodsAll the publications examining the associations of these variants with risk of T2DM were retrieved from the MEDLINE and EMBASE databases. Using the data from the retrieved articles, we computed summary estimates of the associations of the four variants with T2DM risk. We also examined the studies for heterogeneity, as well as for bias of the publications.ResultsA total of 113,025 T2DM patients and 199,997 controls from 38 articles were included in the meta-analysis. Overall, the pooled results indicated that GCK (rs1799884), GCKR (rs780094) and MTNR1B (rs10830963) were significantly associated with T2DM susceptibility (OR, 1.04; 95%CI, 1.01-1.08; OR, 1.08; 95%CI, 1.05-1.12 and OR, 1.05; 95%CI, 1.02-1.08, respectively). After stratification by ethnicity, significant associations for the GCK, MTNR1B and G6PC2 variants were detected only in Caucasians (OR, 1.09; 95%CI, 1.02-1.16; OR, 1.10; 95%CI, 1.08-1.13 and OR, 0.97; 95%CI, 0.95-0.99, respectively), but not in Asians (OR, 1.02, 95% CI 0.98-1.05; OR, 1.01; 95%CI, 0.98-1.04 and OR, 1.12; 95%CI, 0.91-1.32, respectively).ConclusionsOur meta-analyses demonstrated that GCKR rs780094 variant confers high cross-ethnicity risk for the development of T2DM, while significant associations between GCK, MTNR1B and G6PC2 variants and T2DM risk are limited to Caucasians.
| S-EPMC3695948 | biostudies-literature
Project description:Association signals in GWAS are usually prioritized solely by p values. Here, we attempt to improve the power of GWAS by using a weighted false discovery rate control procedure to detect associations of low-frequency variants with effect sizes similar to or even larger than those of common variants. We used the Affymetrix Genome-Wide Human SNP Array 6.0 to test for association with fasting glucose levels in the Atherosclerosis Risk in Communities Study (ARIC) population. In addition to finding several previously identified sequence variations, we identified a low-frequency variant (rs1209523; minor allele frequency = 0.043) near FOXA2 that was associated with fasting glucose levels in European Americans (EAs) (n = 7428, p value = 1.3 x 10(-5)). The association between rs1209523 and glucose levels was also significant in African Americans (AAs) (n = 2029, p value = 6.7 x 10(-3)) of the ARIC and was confirmed by replication in both EAs and AAs of the Dallas Heart Study (n = 963 and 1571, respectively; p values = 5.3 x 10(-3) and 5.8 x 10(-4), respectively) and in EAs of the Cooper Center Longitudinal Study (n = 2862; p value = 1.6 x 10(-2)). A meta-analysis of these five populations yielded an estimated effect size of -1.31 mg/dl per minor allele (p value = 2.2 x 10(-11)). This study reveals that there is a cache of less-frequent variants in GWAS arrays that can be identified via analytical approaches accounting for allele frequencies.
| S-EPMC2833364 | biostudies-literature
Project description:BACKGROUND:Single nucleotide polymorphisms (SNPs) from GCK, GCKR, G6PC2 and MTNR1B were found to modulate the fasting glucose levels. The current study aimed to replicate this association in the Chinese population and further analyze their effects on biphasic insulin secretion. METHODS/PRINCIPAL FINDINGS:SNPs from GCK, GCKR, G6PC2 and MTNR1B were genotyped in the Shanghai Chinese, including 3,410 type 2 diabetes patients and 3,412 controls. The controls were extensively phenotyped for the traits related to glucose metabolism and insulin secretion. We replicated the association between GCK rs1799884, G6PC2 rs16856187 and MTNR1B rs10830963 and fasting glucose in our samples (p = 0.0003-2.0x10(-8)). GCK rs1799884 and G6PC2 rs16856187 showed association to HOMA-beta, insulinogenic index and both first- and second-phases insulin secretion (p = 0.0030-0.0396). MTNR1B rs10830963 was associated to HOMA-beta, insulinogenic index and first-phase insulin secretion (p = 0.0102-0.0426), but not second-phase insulin secretion (p = 0.9933). Combined effect analyses showed individuals carrying more risk allele for high fasting glucose tended to have a higher glucose levels at both fasting and 2 h during OGTTs (p = 1.7x10(-13) and 0.0009, respectively), as well as lower HOMA-beta, insulinogenic index and both first- and second-phases insulin secretion (p = 0.0321-1.1x10(-7)). CONCLUSIONS/SIGNIFICANCE:We showed that SNPs from GCK, G6PC2 and MTNR1B modulated the fasting glucose levels in the normoglycaemic population while SNPs from G6PC2 and GCKR was associated with type 2 diabetes. Moreover, we found GCK and G6PC2 genetic variants were associated to both first- and second-phases insulin secretion while MTNR1B genetic variant was associated with first-phase insulin secretion, but not second-phase insulin secretion.
| S-EPMC2909258 | biostudies-literature
Project description:Common variants in the melatonin receptor type 1B (MTNR1B) locus have been shown to increase fasting plasma glucose (FPG) and the risk of type 2 diabetes. The aims of this study were to evaluate whether nonsynonymous variants in MTNR1B associate with monogenic forms of hyperglycemia, type 2 diabetes, or related metabolic traits.MTNR1B was sequenced in 47 probands with clinical maturity-onset diabetes of the young (MODY), in 51 probands with early-onset familial type 2 diabetes, and in 94 control individuals. Six nonsynonymous variants (G24E, L60R, V124I, R138C, R231H, and K243R) were genotyped in up to 22,142 Europeans. Constitutive and melatonin-induced signaling was characterized for the wild-type melatonin receptor type 1B (MT2) and the 24E, 60R, and 124I MT2 mutants in transfected COS-7 cells.No mutations in MTNR1B were MODY specific, and none of the investigated MTNR1B variants associated with type 2 diabetes. The common 24E variant associated with increased prevalence of obesity (odds ratio 1.20 [1.08-1.34]; P = 8.3 x 10(-4)) and increased BMI (beta = 0.5 kg/m(2); P = 1.2 x 10(-5)) and waist circumference (beta = 1.2 cm; P = 9 x 10(-6)) in combined Danish and French study samples. 24E also associated with decreased FPG (beta = -0.08 mmol/l; P = 9.2 x 10(-4)) in the Danish Inter99 population. Slightly decreased constitutive activity was observed for the MT2 24E mutant, while the 124I and 60R mutants displayed considerably decreased or completely disrupted signaling, respectively.Nonsynonymous mutations in MTNR1B are not a common cause of MODY or type 2 diabetes among Danes. MTNR1B 24E associates with increased body mass and decreased FPG. Decreased MT2 signaling does apparently not directly associate with FPG or type 2 diabetes.
| S-EPMC2874716 | biostudies-literature
Project description:Genome-wide association studies (GWAS) in White Europeans have shown that genetic variation rs10830963 in melatonin receptor 1B gene (MTNR1B) is associated with fasting glucose and type 2 diabetes, which has also been replicated in several Asian populations. As a variant in the gene involved in the regulation of circadian rhythms, the effect of the variant on sleep status remains unknown. This study aimed to investigate the effects of MTNR1B rs10830963 on fasting glucose, type 2 diabetes and sleep status in Chinese Hans.MTNR1B rs10830963 was genotyped in a population-based cohort including 3,210 unrelated Chinese Hans from Beijing and Shanghai, and tested for associations with risk of type 2 diabetes, diabetes-related traits and sleep status.We confirmed the associations of MTNR1B rs10830963 with fasting glucose (beta = 0.11 mmol/l, 95%CI [0.03, 0.18], P = 0.005), glycated hemoglobin (HbA1c) (beta = 0.07%, 95%CI [0.02,0.12], P = 0.004) and homeostasis model assessment of beta-cell function (HOMA-B) (beta = -5.01%, 95%CI [-8.24,-1.77], P = 0.003) in the Shanghai, but not in the Beijing subpopulation (P >or= 0.58). The effect size of MTNR1B rs10830963 on fasting glucose in Shanghai Chinese Hans was comparable to that reported from other Asian populations. We found no evidence of associations with type 2 diabetes (OR 1.05 [0.90-1.23], P = 0.54), homeostasis model assessment of insulin sensitivity (HOMA-S) (P = 0.86) or sleep status (P >or= 0.44).A common variant in MTNR1B was associated with fasting glucose, HbA1C and HOMA-B but not with sleep status in Chinese Hans from Shanghai, strengthening the role of MTNR1B rs10830963 in fasting glycemia and impaired beta-cell function.
| S-EPMC2873324 | biostudies-literature
Project description:The genetic regulation of glucose and insulin levels might be modified by adiposity. With regard to the genetic factors that are altered by adiposity, a large meta-analysis on the interactions between genetic variants and body mass index with regard to fasting glucose and insulin levels was reported by the Meta-Analyses of Glucose- and Insulin-related trait Consortium (MAGIC), based on European ancestry. Because no replication study has been performed in other ethnic groups, we first examined the link between reported single-nucleotide polymorphisms (SNPs) and fasting glucose and insulin levels in a large Korean cohort (Korean Genome and Epidemiology Study cohort [KoGES], n = 5,814). The MAGIC study reported 7 novel SNPs for fasting glucose levels and 6 novel SNPs for fasting insulin levels. In this study, we attempted to replicate the association of 5 SNPs with fasting glucose levels and 5 SNPs with fasting insulin levels. One SNP (rs2293941) in PDX1 was identified as a significant obesity-modifiable factor in Koreans. Our results indicate that the novel loci that were identified by MAGIC are poorly replicated in other ethnic groups, although we do not know why.
| S-EPMC4330260 | biostudies-literature
Project description:Two common variants (rs1387153, rs10830963) in MTNR1B have been reported to have independent effects on fasting blood glucose (FBG) levels with increased risk to type 2 diabetes (T2D) in recent genome-wide association studies (GWAS). In this investigation, we report the association of these two variants, and an additional variant (rs1374645) within the GWAS locus of MTNR1B with FBG, 2h glucose, insulin resistance (HOMA IR), ?-cell function (HOMA B), and T2D in our sample of Asian Sikhs from India. Our cohort comprised 2222 subjects [1201 T2D, 1021 controls]. None of these SNPs was associated with T2D in this cohort. Our data also could not confirm association of rs1387153 and rs10830963 with FBG phenotype. However, upon stratifying data according to body mass index (BMI) (low ? 25 kg/m(2) and high > 25 kg/m(2)) in normoglycemic subjects (n = 1021), the rs1374645 revealed a strong association with low FBG levels in low BMI group (? = -0.073, p = 0.002, Bonferroni p = 0.01) compared to the high BMI group (? = 0.015, p = 0.50). We also detected a strong evidence of interaction between rs1374645 and BMI with respect to FBG levels (p = 0.002). Our data provide new information about the significant impact of another MTNR1B variant on FBG levels that appears to be modulated by BMI. Future confirmation on independent datasets and functional studies will be required to define the role of this variant in fasting glucose variation.
| S-EPMC3155734 | biostudies-literature
Project description:Impaired glucose tolerance is a major risk factor for type 2 diabetes (T2D) and several cardiometabolic disorders. To identify genetic loci underlying fasting glucose levels, we conducted an analysis of 9,232 individuals of European ancestry who at enrollment were either nondiabetic or had untreated type 2 diabetes. Multivariable linear mixed models were used to test for associations between fasting glucose and 7.9 million SNPs, with adjustment for age, body mass index (BMI), sex, significant principal components of the genotypes, and cryptic relatedness. Three previously discovered loci were genome-wide significant, with the lead SNPs being rs1260326, a missense variant in GCKR (p = 1.06×10-8); rs560887, an intronic variant in G6PC2 (p = 3.39×10-11); and rs13266634, a missense variant in SLC30A8 (p = 4.28×10-10). Fine mapping, genome-wide conditional analysis, and functional annotation indicated that the three loci were independently associated with fasting glucose. Each copy of an alternate allele at any of these three SNPs was associated with a reduction of 0.012 mmol/L in fasting glucose levels (p = 8.0×10-28), and this association was replicated in trans-ethnic analysis of 14,303 individuals (p = 2.2×10-16). The three SNPs were jointly associated with significantly reduced T2D risk, with an odds ratio (95% CI) of 0.93 (0.88, 0.98) per protective allele. Our findings implicate additive effects across pathophysiological pathways involved in type 2 diabetes, including glycolysis, gluconeogenesis, and insulin secretion. Since none of the individuals homozygous for the alternate alleles at all three loci has T2D, it might be possible to use a genetic predictor of fasting glucose levels to identify individuals at low vs. high risk of developing type 2 diabetes.
| S-EPMC9165855 | biostudies-literature