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A eC30G>A Polymorphism of the -CelleCSpecific Glucokinase Promoter Associates With Hyperglycemia in the General Population of Whites
     1 Steno Diabetes Center and Hagedorn Research Institute, Copenhagen, Denmark

    2 Centre of Preventive Medicine, Glostrup University Hospital, Glostrup, Denmark

    3 Faculty of Health Science, University of Aarhus, Aarhus, Denmark

    ABSTRACT

    A graded relationship has been reported between fasting and postprandial plasma glucose levels and the subsequent risk of cardiovascular morbidity and mortality. We hypothesized that the GCK eC30G>A promoter polymorphism is associated with elevated glycemia in the middle-aged general population of whites, as well as with features of the World Health Organization (WHO)-defined metabolic syndrome. The GCK eC30G>A polymorphism was genotyped in the population-based Inter99 study cohort (5,965 subjects) and in 332 nondiabetic subjects and 1,063 patients with type 2 diabetes. In the Inter99 cohort, the GCK eC30A allele was associated with increased fasting (P < 0.001) and posteCoral glucose tolerance test (OGTT) plasma glucose levels (P < 0.001), and in the same cohort, the GCK eC30A allele was more frequent among 1,325 subjects with the metabolic syndrome than among 1,679 subjects without any components of the metabolic syndrome (P = 0.002). Moreover, the GCK eC30A allele frequency was higher among 2,587 subjects with impaired glucose regulation (IGR) than among 4,773 glucose-tolerant subjects (17.3% [95% CI 16.2eC18.3] vs. 15.0% [14.3eC15.7], P < 0.001, odds ratio GG vs. GA 1.21 [1.08eC1.36], GG vs. AA 1.62 [1.17eC2.24]). In conclusion, the GCK eC30G>A polymorphism associates with elevated fasting and post-OGTT glycemia in the middle-aged general population of whites, as well as with IGR and other features of the WHO-defined metabolic syndrome.

    Several studies have demonstrated a graded relationship between fasting and postprandial plasma glucose levels and the subsequent occurrence of cardiovascular morbidity and mortality (1), a relationship that is apparent at plasma glucose levels below the diabetic threshold. Furthermore, it is likely that a high 2-h plasma glucose concentration following an oral glucose load is associated with an increased risk of death, independent of the concentration of fasting plasma glucose (2). Although glycemic levels (even in the normal range) and the occurrence of impaired glucose tolerance (IGT) and type 2 diabetes are evidently influenced by genetic factors (3eC5), the specific molecular mechanisms underlying the progression to hyperglycemic states remain uncertain. The glucose sensor of the pancreatic -cell, glucokinase (GCK), plays a crucial role in determining the threshold for glucose-stimulated insulin secretion, and studies of maturity-onset diabetes of the young caused by mutations in GCK have shown that decreased function of the enzyme causes hyperglycemia due to reduced glucose sensing (6,7). Also, common variations in GCK have been suggested to be involved in common forms of type 2 diabetes, and a particular focus has been given to a eC30G>A polymorphism (rs1799884) in the pancreatic -celleCspecific promoter of GCK. This variant, with a minor allele frequency (MAF) in Danish whites of 17eC18% (8), has been investigated in different ethnic populations for association with type 2 diabetes and diabetes-related quantitative traits, yielding inconsistent results (8eC15). However, in recent studies, the eC30G>A polymorphism was associated with elevated levels of glycohemoglobin and fasting plasma glucose (16,17), thus strengthening previous associations between this variant and impaired glucose regulation (IGR). Intriguingly, the variant was also associated with increased risk of coronary artery disease (CAD) and, among patients with CAD, an augmented prevalence of type 2 diabetes (16). The objectives of the present study were, in a relatively large-scale investigation, to evaluate whether the eC30G>A polymorphism of GCK at the population level of middle-aged whites associates with elevated glycemia and features of the World Health Organization (WHO)-defined metabolic syndrome.

    RESEARCH DESIGN AND METHODS

    Details of the study populations are given in Table 1. For studies of genotype-quantitative traits, we excluded all patients with treated type 2 diabetes (n = 97). Thus, 5,868 middle-aged white Danish subjects from the Inter99 cohort, established at the Research Centre for Prevention and Health (4,441 subjects with normal glucose tolerance [NGT], 495 subjects with impaired fasting glycemia [IFG], 684 subjects with IGT, and 248 patients with screen-detected and untreated type 2 diabetes), were investigated for associations between genotype and fasting and posteCoral glucose tolerance test (OGTT) glycemia and other quantitative traits (Table 2). All participants from the Inter99 cohort (including patients with treated type 2 diabetes; in total 5,965 middle-aged white Danish subjects) were evaluated in a case-control study examining the association between genotype and the metabolic syndrome according to 1999 WHO standards (18) (Table 3). In the latter study, subjects having no components of the metabolic syndrome were considered control subjects. The case-control studies of IGR included subjects with IFG, IGT, type 2 diabetes, and NGT sampled at the Steno Diabetes Center and from the Inter99 cohort (Table 4). All nondiabetic subjects underwent a standard 75-g OGTT, and only subjects with NGT were included as control subjects in studies of IGR. All participants were Danish whites by self-report and recruited from the same area of Denmark. Informed written consent was obtained from all subjects before participation. The study was approved by the Ethical Committee of Copenhagen and was in accordance with the principles of the Helsinki Declaration II.

    Biochemical and anthropometric measures.

    All subjects were examined after a 12-h overnight fast. Plasma glucose concentration, serum specific insulin, HbA1c, serum triglycerides, and levels of serum cholesterol were measured as previously described (19,20). All subjects were measured for body height, weight, waist circumference, and hip circumference in the supine position and in light indoor clothes and without shoes.

    Genotyping.

    Genomic DNA was isolated from human leukocytes using standard methods. Genotyping of the GCK eC30G>A polymorphism (rs1799884) was performed using chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (DNA MassARRAY) analyzing PCR-generated primer extension products as reported (21). Genotype data were obtained in 98% of the DNA samples, and 91 samples were genotyped in duplicates with no discrepancies in the genotype scores.

    Statistical analysis.

    Binary logistic regression analyses and Fisher’s exact test were applied to test for differences in genotype distribution and to examine for differences in allele frequencies, respectively. A general linear model was applied to test anthropometrical and biochemical variables (or transformed variables) for differences between genotype groups. Genotype and sex were considered as fixed factors and age and BMI as covariates. The analyses using the binary logistic regression and general linear model were performed using SPSS (version 12.0; SPSS, Chicago, IL). P < 0.05 was considered significant.

    RESULTS

    Applying a codominant model, the GCK eC30G>A polymorphism was investigated for its possible influence on quantitative traits of circulating plasma glucose and serum insulin levels in the population-based Inter99 sample, which involved 5,868 middle-aged white Danish subjects (4,441 subjects with NGT, 495 subjects with IFG, 684 subjects with IGT, and 248 patients with screen-detected and untreated type 2 diabetes), as shown in Table 2. At the population level, carriers of the A allele of the eC30G>A polymorphism had increased concentrations of fasting plasma glucose (P < 0.001), as well as 30- and 120-min post-OGTT plasma glucose (P = 0.03 and P < 0.001, respectively) (Table 2). Also, the A allele was associated with an increase in the insulin resistance index (defined as homeostasis model assessment of insulin resistance, P = 0.006). We also examined the polymorphism with respect to fasting and post-OGTT stimulated serum levels of insulin, insulinogenic indexinsulin, serum lipids, and blood pressure; however, no statistically significant associations with the investigated quantitative traits and genotype were detected (Table 2).

    Potential associations of the eC30G>A polymorphism with components of the WHO-defined metabolic syndrome were evaluated in a case-control study involving all participants from the Inter99 cohort (Table 3). The A allele associated with the metabolic syndrome, showing a significant discrepancy in both genotype distribution (P = 0.004) and MAF (P = 0.002) between subjects classified as having the metabolic syndrome and control subjects with no features of the metabolic syndrome. Furthermore, the A allele strongly associated with IGR (P < 0.001), and both the genotype distribution and MAF differed significantly between subjects with insulin resistance and control subjects (P = 0.03 and P = 0.008, respectively). Also, a borderline nonsignificant divergence in genotype distribution and MAF between subjects with hypertension or indexes of obesity and control subjects was observed (Table 3).

    In addition, the eC30G>A polymorphism of GCK was genotyped in a case-control study involving 2,587 subjects with IGR (1,408 type 2 diabetic patients recruited from the Steno Diabetes Center [n = 1,063] and the population-based Inter99 cohort [n = 345], 684 IGT subjects from the Inter99 cohort, and 495 IFG subjects from the Inter99 cohort) and 4,773 subjects with NGT (recruited from the Steno Diabetes Center [n = 332] and the population-based Inter99 cohort [n = 4,441]) (Table 4). We found that the eC30A allele was significantly associated with IGR, with an odds ratio for GG vs. GA of 1.21 (95% CI 1.08eC1.36) and GG vs. AA of 1.62 (1.17eC2.24) (Table 4). When analyzing the IFG, IGT, and type 2 diabetic subgroups separately, we observed a tendency toward an association of the A allele with elevated glycemia within all subgroups (Table 4). Comparing subjects with IGT and glucose-tolerant control subjects, the eC30G>A polymorphism was associated with a difference in genotype distribution (P = 0.001) and with a higher frequency of the A allele among IGT subjects (18.9% [16.9eC21.0]) than among control subjects (15.0% [14.3eC15.7]) (P < 0.001). Interestingly, the risk of having IGT increased in an allele-dependent manner, with an odds ratio of 1.30 (1.09eC1.55) for heterozygous and 1.87 (1.18eC2.96) for homozygous carriers compared with carriers of the wild-type allele.

    DISCUSSION

    At the population level of middle-aged white people, in the present relatively large-scale epidemiological study, we found a significant association of the eC30G>A GCK polymorphism with both increased fasting and post-OGTT levels of circulating glucose, extending previous evidence (16,17). A few other diabetogenic variants have been reported to influence plasma glucose levels in the general population, including HNF4A rs1884614C>T (22) and HNF4A rs2144908A>G (23). However, none of these genetic variants have an impact similar to the order of magnitude observed for the eC30G>A GCK polymorphism.

    The present study also provides evidence that the eC30G>A GCK polymorphism influences susceptibility to phenotypes of IGR and the WHO-defined metabolic syndrome. While our analyses revealed a borderline association of the minor allele of the eC30G>A polymorphism with type 2 diabetes per se, a more marked impact of the variant was detected on susceptibility to IGT. In terms of genetic versus environmental influences on type 2 diabetes susceptibility, this finding is of particular interest and supports previous heritability studies, including a Danish twin study, generating considerably higher heritability estimates for the IGT state compared with manifest type 2 diabetes (3).

    GCK is a key regulatory enzyme in the pancreatic -cell, and it plays a crucial role in determining the threshold for glucose-stimulated insulin secretion. Heterozygous inactivating mutations in GCK cause maturity-onset diabetes of the young subtype 2, in which hyperglycemia is present from birth. The decreased expression (haploinsufficiency) of functional GCK seems to be the cause of the observed hyperglycemia among maturity-onset diabetes of the young subtype 2 patients. The mechanism by which the eC30G>A polymorphism causes hyperglycemia is uncertain. The present findings may indicate that the minor A allele or a genetic variant with which it is in linkage disequilibrium alters the expression of GCK. However, this hypothesis remains to be tested.

    A progressive relationship between plasma glucose levels and cardiovascular risk that extends below the threshold chosen for diabetes has been demonstrated (1). We therefore tested whether risk factors for cardiovascular disease were associated with the eC30G>A polymorphism and found that the A allele, which associates with elevated plasma glucose levels, also associates with the metabolic syndrome. This finding is in line with a recent study showing that the A allele increases the risk of angiographically verified CAD and associates with type 2 diabetes among CAD patients (16). Thus, available data, including the present findings of the eC30G>A polymorphism, may point to a direct effect of hyperglycemia and the risk of development of the metabolic syndrome and CAD. However, the exact mechanisms leading from slightly elevated glycemic levels to CAD remain undefined. From epidemiological studies, it is evident that an early and aggressive regulation of glycemic levels seems crucial for the prevention of CAD. In this respect, GCK may be considered an attractive drug target.

    The present study provides evidence that the eC30G>A promoter polymorphism of GCK associates with elevated fasting and post-OGTT glycemia in a middle-aged general population of whites. The same variant confers an increased risk of IGT and the metabolic syndrome according to 1999 WHO criteria.

    ACKNOWLEDGMENTS

    The study was supported by the Danish Medical Research Council, the Danish Diabetes Association, the Danish Heart Foundation, the Velux Foundation, and the European Economic Community (BMH4-CT98-3084 and QLRT-CT-1999-00 546).

    The authors thank A. Forman, L. Aabo, and I.L. Wantzin for dedicated technical assistance and G. Lademann for secretarial support.

    CAD, coronary artery disease; GCK, glucokinase; IFG, impaired fasting glycemia; IGR, impaired glucose regulation; IGT, impaired glucose tolerance; MAF, minor allele frequency; NGT, normal glucose tolerance; OGTT, oral glucose tolerance test; WHO, World Health Organization

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