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Promoter G308A Polymorphism Predisposes to an Insulin-Deficient Phenotype in Patients with Type 2 Diabetes
Diabetes and Endocrine Research Laboratory (H.L., L.G., A.N., T.T.), Department of Endocrinology, Lund University, S-20502 Malmö, Sweden; Department of Endocrinology (J.W.), The First University Hospital, Sun Yat-Sen University, Guangzhou, China 510080; and Department of Internal Medicine (T.T.), Helsinki University Central Hospital, Helsinki FIN-00029, Finland
Address all correspondence and requests for reprints to: Haiyan Li, Ph.D., Wallenberg Laboratory, Department of Endocrinology, Lund University, S-20502 Malmö, Sweden. E-mail: haiyan.li{at}endo.mas.lu.se.
| Abstract |
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gene could be such a modifying gene, we studied TNF
promoter polymorphisms (G
A substitution at positions -308 and -238) in relation to HLA-DQB1 genotypes in type 2 patients from mixed type 1/2 families or common type 2 diabetes families as well as in patients with adult-onset type 1 diabetes and control subjects. The TNF
308 AA/AG genotype frequency was increased in adult onset type 1 patients (55%, 69 of 126), but it was similar in type 2 patients from type 1/2 families (35%, 33/93) or common type 2 families (31%, 122 of 395), compared with controls (33%, 95/284; P < 0.0001 vs. type 1). The TNF
308 A and DQB1*02 alleles were in linkage disequilibrium in type 1 patients (Ds = 0.81; P < 0.001 vs. Ds = 0.25 in controls) and type 2 patients from type 1/2 families (Ds = 0.59, P < 0.05 vs. controls) but not in common type 2 patients (Ds = 0.39). The polymorphism was associated with an insulin-deficient phenotype in the type 2 patients from type 1/2 families only together with DQB*02, whereas the common type 2 patients with AA/AG had lower waist to hip ratio [0.92 (0.12) vs. 0.94 (0.11), P = 0.008] and lower fasting C-peptide concentration [0.48 (0.47) vs. 0.62 (0.46) nmol/liter, P = 0.020] than those with GG, independently of the presence of DQB1*02. In conclusion, TNF
is unlikely to be the second gene in the HLA area responsible for our previous findings in type 1/2 patients. However, we could show an association between TNF
308 polymorphism and the phenotype of common type 2 diabetes. | Introduction |
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Indeed, sharing type 1 diabetes-associated human leukocyte antigen (HLA) risk haplotypes (either DR4-DQB1*0302 or DR3-DQB1*02) with a type 1 diabetic relative was associated with impaired insulin secretion in response to oral glucose in type 2 diabetic patients (2). Among the second-degree or more distant relatives of type 1 diabetic patients, those sharing a risk haplotype with the type 1 diabetic relative had a lower insulin response, compared with those not sharing such haplotypes. However, no such effect was seen in unrelated patients with similar risk HLA genotypes, suggesting that other genes or combination of alleles on the short arm of chromosome 6 need to be shared.
One such candidate could be the TNF
gene in the class III region of HLA (7, 8, 9). The gene encodes for a cytokine initially implicated in inflammatory and immunoregulatory actions, which makes it a good candidate gene for type 1 diabetes. A single nucleotide polymorphism (G
A substitution at position -308, G308A) in the promoter region of the TNF
gene was associated with type 1 diabetes in a manner dependent on HLA-DR3 (10, 11, 12). In Caucasians, the extended DR3-DQB1*02 haplotype containing the A allele correlated with a high TNF
secretion (11, 13) and conferred a higher relative risk than DR3-DQB1*02 per se did (8, 10, 14, 15, 16). Moreover, TNF
has also been ascribed a role in the development of obesity, insulin resistance, and possibly type 2 diabetes (17, 18). G308A has been reported to be associated with either increased (19, 20, 21, 22, 23, 24, 25) or decreased (26, 27, 28, 36) insulin resistance in both type 2 diabetic patients and nondiabetic subjects. Moreover, another promoter polymorphism, G238A (G
A substitution at position -238) was associated with a decreased insulin resistance in nondiabetic relatives of type 2 diabetic patients (29). Therefore, we hypothesized that the TNF
polymorphism could together with the HLA class II locus modify the risk for type 2 diabetes and explain part of the phenotypic heterogeneity in type 2 diabetes, especially in the patients from the mixed type 1/2 diabetes families.
| Subjects and Methods |
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The Botnia study is a population-based study aiming at the identification of genes that increase susceptibility to type 2 diabetes (30). Since 1990, we have recruited 695 families with at least two members with type 2 diabetes from Finland (2). Of them, 100 also had a member with type 1 diabetes (mixed type 1/2 families), and 595 families had only members with type 2 diabetes (common type 2 diabetes families). Families with genetically confirmed maturity-onset diabetes of the young (MODY1, MODY2, MODY3) (31) were excluded. All available family members were invited to participate in the study, and an oral glucose tolerance test (OGTT) was performed to more than 90% of the nondiabetic subjects studied. Diabetes was diagnosed according to the revised World Health Organization criteria (32). All patients with type 1 diabetes had commenced permanent insulin treatment within 6 months after diagnosis and had fasting C-peptide concentrations less than 0.2 nmol/liter. Patients who did not fulfill these criteria were considered to have type 2 diabetes. All type 2 diabetic patients in the present study had been treated with diet and/or oral hypoglycemic agents for at least 1 yr before commencing insulin treatment. They did not have rapid weight loss or ketosis at diagnosis. Informed consent was obtained from all subjects, and the study was approved by the local ethics committee.
The present study included randomly selected unrelated subjects from four groups: 1) type 2 diabetic patients from mixed type 1/2 diabetes families [n = 93, 39 males and 54 females; age (mean ± SD), 64.0 ± 12.8 yr; body mass index (BMI), 27.6 ± 3.8 kg/m2; hemoglobin A1c (HbA1c), 7.6% ± 1.6%, 18% having glutamic acid decarboxylase antibodies (GADab)]; 2) type 2 diabetic patients from common type 2 diabetes families (n = 395, 173 males and 222 females; age, 65.7 ± 9.8 yr; BMI, 28.9 ± 4.7 kg/m2; HbA1c, 7.4% ± 1.5%, 8% having GADab); 3) GADab-negative control subjects without family history of diabetes (n = 284, 129 males and 155 females; age, 55.0 ± 12.9 yr); and 4) patients with adult-onset type 1 diabetes (n = 126, 73 males and 53 females; age at diagnosis, >20 yr, mean, 30.7 ± 8.6 yr; fasting serum C-peptide, 0.0 ± 0.0 nmol/liter, 65% GADab positive) from the Diabetes 2000 Registry in southern Sweden (2).
Genotyping
The TNF
promoter polymorphisms at positions -308 and -238, both involving a substitution of guanine by adenine, were amplified by PCR according to the method of Day et al. (29). Briefly, mismatch primers creating new restriction sites together with the common alleles were used to amplify genomic DNA, followed by digestion with NcoI (TNF
308) or MspI (TNF
238) according to the manufacturers instructions (New England Biolabs, Beverly, MA). The PCR products digested with NcoI or MspI were pooled for each individual, separated on a 5% polyacrylamide (49 acrylamide:1 bisacrylamide) gel, and visualized with ethidium bromide, using Gel-Scan 2000 equipment and GelPro software (Corbett Research, Sydney, Australia).
The HLA DQB1 genotypes were typed by using three DQB1 probes to distinguish DQB1 alleles 0201 or 0202(02), 0302, and 0602 or 0603 [0602(3)] alleles (1). The genotypes were presented as 02/0302, 0302/X, 02/X, 0602(3)/X, 0302/0602(3), 02/0602(3), and X/X, where X could mean either a homozygous allele or any allele other than 02, 0302, or 0602(3). To study whether the TNF
308 polymorphism was associated with DQB1*02 allele, which is in linkage disequilibrium with DR3, the frequency of TNF
308 AA, AG, and GG genotypes was compared according to whether the subjects had two, one, or no DQB1*02 alleles. The comparison was made in 593 subjects (including 218 control subjects, 67 type 2 patients from the mixed type 1/2 families, 182 type 2 patients from the common type 2 diabetes families, and 126 adult-onset type 1 patients), for whom the full DQB1 genotypes were available (2). Also, subjects positive for DQB1*02 were typed for HLA-DR3 by allele-specific PCR followed by restriction fragment-length polymorphism analysis (2).
Metabolic measurements
An OGTT was performed for all subjects aged more than 15 yr with fasting blood glucose less than 10 mmol/liter and not treated with insulin. After 12 h of overnight fast, the subjects ingested 75 g glucose in a volume of 300 ml. Samples for measurements of blood glucose and serum insulin were drawn at -10, 0, 30, 60, and 120 min, and incremental glucose or insulin areas under the curve were calculated. Blood glucose was measured with a glucose oxidase method using a Glucose Analyzer II (Beckman Instruments, Fullerton, CA). Serum insulin concentrations were measured by RIA (Pharmacia, Uppsala, Sweden) with interassay coefficient of variation of 5%. Fasting serum C-peptide concentrations were measured in duplicate by a RIA with an interassay coefficient of variation of 9% (human C-peptide RIA kit, Linco Research, Inc., St. Charles, MO). The HbA1c concentration was measured by an HPLC with a reference range of 57%. Homeostasis model assessment for insulin resistance (HOMA) index was calculated based upon fasting insulin and fasting glucose concentrations (33). GADabs were measured by a radioimmunoprecipitation assay employing 35S-labeled recombinant human GAD65 produced by in vitro transcription/translation (34).
Statistical analysis
Data are presented as median (75%25% interquartile range) and percentages for categorical variables. The statistical analysis was performed with either Biomedical Data Processing (Los Angeles, CA) or Number Cruncher Statistical Systems (Kaysville, UT) statistical software. The group frequencies were compared using the
2 (with Yates correction when appropriate) or Fishers exact tests. The differences in continuous variables between groups were tested by the Mann-Whitney test, the Kruskal-Wallis test for group means, or general linear models ANOVA. Logarithmic transformation of data was used for the covariate analysis. A multiple-regression analysis was carried out using fasting C-peptide concentration or waist to hip (WH) ratio as the dependent variable, and DQB1*02 (presence = 1, absence = 0), TNF
308 polymorphism (presence = 1, absence = 0), age, BMI, and sex as independent variables. The coefficient of linkage disequilibrium (D) between the TNF
308 A allele and the DQB1*02 allele was analyzed according to the observed and expected numbers (frequencies) of individuals with and without the A allele, in relation to the presence or absence of the *02 allele. The standardized value of D (Ds) was calculated using the formula: Ds = D/Dmax (Dmax is the theoretical maximum disequilibrium value achievable for the combination of the TNF
308 A and the DQB1*02 alleles).
| Results |
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polymorphisms
G308A polymorphism.
The genotype frequencies were similar in control subjects (AA-AG-GG, 4%29%-67%), type 2 diabetic patients from the mixed type 1/2 families (type 1/2: 3%32%-65%), and type 2 diabetic patients from the common type 2 diabetes families (common type 2: 3%28%-69%), but genotypes containing the A allele were more frequent in adult-onset type 1 diabetic patients (AA, 10%, P = 0.035; AG, 45%, P = 0.001 vs. controls; Table 1
).
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The presence of TNF
G308A polymorphism in relation to HLA-DQB1 genotypes
The TNF
308 polymorphism has been associated with HLA-DR3 (11, 12), which is in linkage disequilibrium with the DQB1*02 allele. Thus, we analyzed the frequency of TNF
308 AA, AG, and GG genotypes according to whether the subjects had two, one, or no DQB1*02 alleles (see Subjects and Methods), and studied, in subjects with AA/AG or GG genotypes, the frequency of DQB1 genotypes containing the *02 allele (DQB1*02-pos).
In adult-onset type 1 patients, the TNF
308 AA genotype was present significantly more often in subjects with two than in those with one or no DQB1*02 alleles (67% vs. 4% vs. 0%, P < 0.0001). Conversely, the GG genotype was least common in those with two than in those with one or no DQB1*02 alleles (0% vs. 11% vs. 88%, P < 0.0001) (Fig. 1
). The TNF
308 A and DQB1*02 alleles were in strong linkage disequilibrium in type 1 diabetic patients (Ds = 0.81; P < 0.001 vs. Ds = 0.25 in control subjects) but not in common type 2 diabetic patients (Ds = 0.39; P = NS vs. controls) or control subjects, whereas the mixed patients showed an intermediate situation (Ds = 0.59; P < 0.05 vs. controls) (Fig. 1
). Consequently, in the whole study group, subjects with AA/AG genotypes were more often DQB1*02 positive than subjects with GG genotype (control: 51% vs. 25%; mixed type 1/2: 73% vs. 23%; common type 2: 52% vs. 19%; and adult type 1: 90% vs. 11%; all P < 0.00001, Table 2
). The proportion of subjects having both AA/AG and DQB1*02 was higher among type 2 patients from type 1/2 families (26%, 24 of 93) than in common type 2 patients (16%, 64 of 395, P = 0.030) and control subjects (17%, 48 of 284, P = 0.057), but it was lower than adult-onset type 1 patients (49%, 62 of 126, P = 0.0002). The increased frequency of DQB1*02 in the AA/AG genotype group reflected the increased frequency of 02/0302 and 02/X genotypes in adult-onset type 1 patients, and it was due to the increased frequency of 02/X and 02/0602(3) genotypes in type 2 diabetic patients and control subjects (Table 2
).
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308A was 0.86 for type 1 diabetes, 0.62 for type 2 patients from the mixed 1/2 families, 0.54 for common type 2 patients, and 0.46 for the control subjects.
Clinical comparison between the TNF
308 AA/AG and GG genotype groups
To study whether the presence of the G308A polymorphism alone or in association with DQB1*02 influenced the phenotype of patients with type 2 diabetes or nondiabetic subjects, we compared the clinical characteristics in subjects with AA/AG vs. GG, and AA/AG and DQB1*02-pos vs. GG and DQB1*02-neg (DQB1 genotypes without the DQB1*02 allele).
The frequency of GADab did not differ between subjects with TNF
308 AA/AG and GG (type 1/2, 18% vs. 18%; common type 2, 11% vs. 7%; adult-onset type 1, 68% vs. 61%). It also did not differ between those with or without DQB1*02 (type 1/2, 21% vs. 16%; common type 2, 5% vs. 9%; adult type 1, 66% vs. 64%).
Type 2 patients from the mixed type 1/2 families.
The clinical characteristics did not differ between type 2 patients from type 1/2 families with AA/AG and those with GG (Table 3
). DQB1*02-pos patients had a higher fasting glucose concentration [median (interquartile range), 8.6 (5.1) vs. 7.1 (3.8) mmol/liter, P = 0.021] and a higher glucose area during OGTT [706 (283) vs. 559 (278) mmol/liter, P = 0.060] than the DQB1*02-neg patients did. Fasting insulin, insulin area during OGTT, fasting C-peptide concentration, and the lipid concentrations did not differ among the groups (data not shown). Patients with both AA/AG and DQB1*02 had a higher fasting glucose concentration [8.5 (4.7) vs. 7.1 (2.9) mmol/liter, P = 0.023] and glucose area during OGTT [763 (297) vs. 559 (247) mmol/liter, P = 0.070], compared with the DQB1*02-neg patients with GG, but they did not differ from patients with DQB1*02 alone.
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308 AA/AG was associated with low fasting C-peptide concentration (regression coefficient = -0.058, P = 0.027) and low WH ratio (regression coefficient = -0.009, P = 0.010; women: regression coefficient = -0.016, P = 0.002), independent of age, BMI, sex, and the presence of DQB1*02 (Table 5
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308 AA/AG or GG genotypes. There also was no difference between those with and without DQB1*02 (data not shown). However, among the DQB1*02-positive group, despite similar age [55.0 (21.4) vs. 58.4 (20.2) yr] and BMI [25.0 (3.5) vs. 25.6 (4.8) kg/m2], subjects with AA/AG (23 males and 25 females) had lower fasting insulin concentration [5.9 (4.4) vs. 7.8 (5.3) mU/liter, P = 0.015] and lower HOMA index for insulin resistance [1.2 (1.1) vs. 1.7 (1.2), P = 0.026] than those with GG (20 males and 28 females). Again, the differences were more marked in women [fasting insulin: 5.7 (4.7) vs. 8.1 (4.8) mU/liter, P = 0.027; HOMA index: 1.2 (1.1) vs. 1.8 (1.2), P = 0.046]. Only three of the DQB1*02 positive subjects without DR3 had AA/AG, which precluded separate analysis of this group. However, when the DR3-negative subjects were excluded from the DQB1*02-positive group, the fasting C-peptide concentration [0.33 (0.27) vs. 0.49 (0.24), P = 0.011] and insulin area under curve during OGTT [3361 (2229) vs. 4772 (5314), P = 0.018] were lower in those with AA/AG, compared with GG. In the DQB1*02-neg group, the clinical characteristics did not differ between subjects with AA/AG and GG (data not shown). | Discussion |
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gene, which have previously been reported to be associated with both type 1 diabetes and subphenotypes of type 2 diabetes, would together with HLA contribute to the insulin-deficient phenotype of type 2 diabetic patients from mixed type 1/2 families. In accordance with a previous study on young-onset type 1 diabetes (11), we found an increased frequency of TNF
308 genotypes containing the A allele (AA/AG) in patients with adult-onset type 1 diabetes. However, the TNF
308 genotype frequency was similar in type 2 patients from the mixed type 1/2 families and common type 2 families, compared with the population controls.
The TNF
308 polymorphism has previously been shown to be in linkage disequilibrium with HLA-DR3 (11, 12) in Europeans. Our data supported this association because the A allele of TNF
308 was associated with the HLA-DR3 (Ds = 0.61) and somewhat less strongly with the associated DQB1*02 allele (Ds = 0.47; n = 592). The linkage disequilibrium between the TNF
308 A and DR3 or DQB1*02 alleles was strongest in the adult-onset type 1 patients (Ds 0.86 for DR3 and 0.81 for DQB1*02), followed by the type 2 patients from type 1/2 families (Ds = 0.62 and 0.59), common type 2 patients (Ds = 0.54 and 0.39), and control subjects (Ds = 0.46 and 0.25). These results are in accordance with a previous study showing linkage disequilibrium differences in the chromosome region harboring the HLA class II and TNF
loci between type 1 diabetic patients and control subjects carrying the risk HLA DRB1-DQB1 genotypes (8). In Scandinavian populations, DQB1*02 occurs mostly in the same haplotype as DR3, although it can also co-occur with DR7, which is considered neutral with respect to the type 1 diabetes risk (35).
The association of TNF
308 A with type 1 diabetes ascribed to the extended HLA haplotype because of allelic association with DR3-DQB1*02 could result in better defined extended haplotypes and allow the differentiation of more specific association or more stronger disease susceptibility conferred by the extended HLA haplotype than that conferred by TNF
or HLA class II alleles alone (8, 10, 14, 15, 16). Indeed, the frequency of having both TNF
308 A and DQB1*02 was significantly higher in adult-onset type 1 diabetic patients than in common type 2 patients or control subjects, and the differences were much more greater than that shown for the A or the *02 allele alone. The same was true for the difference between type 2 patients from type 1/2 families and common type 2 diabetic patients or control subjects carrying both the A and the *02 alleles. However, larger numbers of mixed type 2 patients from type 1/2 families with DR3 are needed to show a statistically significant difference. On the other hand, because both DR3 and DQB1*02 are increased in frequency in type 1 diabetes, it is necessary to also genotype for HLA when attempting to decipher any association between TNF
and diabetes.
Initially supporting our hypothesis, the type 2 patients from type 1/2 families having both TNF
308 AA/AG and DQB1*02 (73% of whom had a DR3-DQB1*02-TNF
308 A) (2) seemed to have a higher glucose area during OGTT than those who had neither the TNF
308 A allele (GG genotype) or DQB1*02. However, the increased glucose area could not be attributed to the TNF
308 polymorphism because all DQB1*02-positive type 2 patients from type 1/2 families had a higher glucose area, compared with the DQB1*02-negative patients irrespective of the TNF
308 genotype. Thus, we could not show an HLA-independent association between TNF
308 and the phenotype of type 2 patients from type 1/2 families. However, given the high degree of linkage disequilibrium between the TNF
308 A and the DQB1*02 alleles in type 2 patients from type 1/2 families, a much larger sample size would be needed to exclude a small independent effect of TNF
.
In common type 2 patients, our data suggested an independent effect of TNF
308 AA/AG on the insulin-deficient phenotype. In the logistic regression analysis, TNF
308 AA/AG was associated with low fasting C-peptide concentration and low WH ratio, independent of the presence of DQB1*02. Of note, the DQB1*02-positive and -negative common type 2 patients did not per se differ with respect to these parameters (2). However, there was an additive effect in that patients with both DQB1*02 and AA/AG had lower fasting C-peptide concentration than those with either AA/AG or DQB1*02 alone. In fact, the fasting C-peptide concentration in those with both DQB1*02 and AA/AG was as low as that seen in type 2 patients from type 1/2 families, independent of the presence of GADab. This could reflect a haplotype effect of both DQB1 and TNF
on the phenotype of common type 2 patients, which could explain that the TNF
308 polymorphism has previously been associated with low HOMA index in Sardinian (36) but not in Japanese type 2 diabetic patients (37). Indeed, there have been data showing that two (or more) susceptibility loci in the HLA (one in the HLA class II and another in the central MHC region) act epistatically to increase susceptibility of type 1 diabetes. This so-called dosage effect is particularly remarkable for the DR3-DQB1*02 haplotype (7, 38). In Europeans, the A1-B8-DR3-DQB1*02 haplotype, containing the TNF
308 A allele, is associated with high TNF
production (11, 13, 39). TNF
has been proposed to have an active role in pancreatic ß-cell destruction and impaired insulin secretion mediated by overproduction of nitric oxide in the ß-cells (40, 41). Of note, the frequency of GADab did not differ between adult-onset diabetic patients with or without the DQB1*02 allele and those with or without the TNF
308 A allele; the results were in accordance with the previous studies in Finland and Sweden showing that the association of GADab with DR3 (or DQB1*02) was mainly restricted to the young onset (<20 yr) diabetic patients (42, 43, 44, 45, 46).
After the initial report of Hotamisligil et al. (17, 18, 47) that TNF
plays a crucial role in the insulin resistance of obesity and type 2 diabetes through its inhibition of insulin signaling, the TNF
locus has also been linked to obesity (48), and the TNF
308 polymorphism has been associated with the features of insulin resistance or body fat. The results for nondiabetic subjects are, however, somewhat contradictory. In some studies, the less common allele has been associated with increased fasting insulin concentration, BMI, body fat content, and insulin resistance (20, 21, 22, 23, 24, 25), and in others it has been associated with a decreased BMI (27, 28). The results from our nondiabetic population support the relationship between the DQB1-TNF
haplotype and a more insulin-deficient phenotype. Among them, subjects with both TNF
308 AA/AG and DQB1*02 had lower fasting insulin concentration and lower HOMA index for insulin resistance, compared with the others. The differences were more marked in women, which is in agreement with previous studies (22, 23, 27, 28). The contradictory results in the literature regarding the existence of an association between TNF
and insulin resistance in the nondiabetic subjects could possibly be due to different HLA background or different pattern of linkage disequilibrium between the HLA and the TNF
alleles of the study populations.
In conclusion, TNF
is unlikely to be the second gene in the HLA region responsible for our previous findings in type 2 patients from type 1/2 families. However, we could show an association between the TNF
308 polymorphism and the phenotype of common type 2 diabetes; the A allele was associated with lower WH ratio (mainly in women) and lower fasting C-peptide concentration in common type 2 diabetic patients, independent of the presence of DQB1*02.
| Acknowledgments |
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| Footnotes |
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Abbreviations: BMI, Body mass index; D, coefficient of disequilibrium; Ds, standardized value of D; HbA1C, hemoglobin A1C; HLA, human leukocyte antigen; HOMA, homeostasis model assessment for insulin resistance; OGTT, oral glucose tolerance test; GADab, glutamic acid decarboxylase antibody; WH, waist to hip ratio.
Received March 31, 2002.
Accepted February 27, 2003.
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