The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study.

AIMS/HYPOTHESIS: Although a family history of type 2 diabetes is a strong risk factor for the disease, the factors mediating this excess risk are poorly understood. In the InterAct case-cohort study, we investigated the association between a family history of diabetes among different family members and the incidence of type 2 diabetes, as well as the extent to which genetic, anthropometric and lifestyle risk factors mediated this association. METHODS: A total of 13,869 individuals (including 6,168 incident cases of type 2 diabetes) had family history data available, and 6,887 individuals had complete data on all mediators. Country-specific Prentice-weighted Cox models were fitted within country, and HRs were combined using random effects meta-analysis. Lifestyle and anthropometric measurements were performed at baseline, and a genetic risk score comprising 35 polymorphisms associated with type 2 diabetes was created. RESULTS: A family history of type 2 diabetes was associated with a higher incidence of the condition (HR 2.72, 95% CI 2.48, 2.99). Adjustment for established risk factors including BMI and waist circumference only modestly attenuated this association (HR 2.44, 95% CI 2.03, 2.95); the genetic score alone explained only 2% of the family history-associated risk of type 2 diabetes. The greatest risk of type 2 diabetes was observed in those with a biparental history of type 2 diabetes (HR 5.14, 95% CI 3.74, 7.07) and those whose parents had been diagnosed with diabetes at a younger age (<50 years; HR 4.69, 95% CI 3.35, 6.58), an effect largely confined to a maternal family history. CONCLUSIONS/INTERPRETATION: Prominent lifestyle, anthropometric and genetic risk factors explained only a marginal proportion of the excess risk associated with family history, highlighting the fact that family history remains a strong, independent and easily assessed risk factor for type 2 diabetes. Discovering factors that will explain the association of family history with type 2 diabetes risk will provide important insight into the aetiology of type 2 diabetes.

Common variants in CNDP1 and CNDP2, and risk of nephropathy in type 2 diabetes.

AIMS/HYPOTHESIS: Several genome-wide linkage studies have shown an association between diabetic nephropathy and a locus on chromosome 18q harbouring two carnosinase genes, CNDP1 and CNDP2. Carnosinase degrades carnosine (ß-alanyl-L-histidine), which has been ascribed a renal protective effect as a scavenger of reactive oxygen species. We investigated the putative associations of genetic variants in CNDP1 and CNDP2 with diabetic nephropathy (defined either as micro- or macroalbuminuria) and estimated GFR in type 2 diabetic patients from Sweden. METHODS: We genotyped nine single nucleotide polymorphisms (SNPs) and one trinucleotide repeat polymorphism (D18S880, five to seven leucine repeats) in CNDP1 and CNDP2 in a case-control set-up including 4,888 unrelated type 2 diabetic patients (with and without nephropathy) from Sweden (Scania Diabetes Registry). RESULTS: Two SNPs, rs2346061 in CNDP1 and rs7577 in CNDP2, were associated with an increased risk of diabetic nephropathy (rs2346061 p = 5.07 × 10(-4); rs7577 p = 0.021). The latter was also associated with estimated GFR (ß = -0.037, p = 0.014), particularly in women. A haplotype including these SNPs (C-C-G) was associated with a threefold increased risk of diabetic nephropathy (OR 2.98, 95% CI 2.43-3.67, p < 0.0001). CONCLUSIONS/INTERPRETATION: These data suggest that common variants in CNDP1 and CNDP2 play a role in susceptibility to kidney disease in patients with type 2 diabetes.

A family history of diabetes is associated with reduced physical fitness in the Prevalence, Prediction and Prevention of Diabetes (PPP)-Botnia study.

AIMS/HYPOTHESIS: We studied the impact of a family history of type 2 diabetes on physical fitness, lifestyle factors and diabetes-related metabolic factors. METHODS: The Prevalence, Prediction and Prevention of Diabetes (PPP)-Botnia study is a population-based study in Western Finland, which includes a random sample of 5,208 individuals aged 18 to 75 years identified through the national Finnish Population Registry. Physical activity, dietary habits and family history of type 2 diabetes were assessed by questionnaires and physical fitness by a validated 2 km walking test. Insulin secretion and action were assessed based upon OGTT measurements of insulin and glucose. RESULTS: A family history of type 2 diabetes was associated with a 2.4-fold risk of diabetes and lower physical fitness (maximal aerobic capacity 29.2 +/- 7.2 vs 32.1 +/- 7.0, p = 0.01) despite having similar reported physical activity to that of individuals with no family history. The same individuals also had reduced insulin secretion adjusted for insulin resistance, i.e. disposition index (p < 0.001) despite having higher BMI (27.4 +/- 4.6 vs 26.0 +/- 4.3 kg/m(2), p < 0.001). CONCLUSIONS/INTERPRETATION: Individuals with a family history of type 2 diabetes are characterised by lower physical fitness, which cannot solely be explained by lower physical activity. They also have an impaired capacity of beta cells to compensate for an increase in insulin resistance imposed by an increase in BMI. These defects should be important targets for interventions aiming at preventing type 2 diabetes in individuals with inherited susceptibility to the disease.

Interaction between prenatal growth and high-risk genotypes in the development of type 2 diabetes.

AIMS/HYPOTHESIS: Early environmental factors and genetic variants have been reported to be involved in the pathogenesis of type 2 diabetes. The aim of this study was to investigate whether there is an interaction between birthweight and common variants in the TCF7L2, HHEX, PPARG, KCNJ11, SLC30A8, IGF2BP2, CDKAL1, CDKN2A/2B and JAZF1 genes in the risk of developing type 2 diabetes. METHODS: A total of 2,003 participants from the Helsinki Birth Cohort Study, 311 of whom were diagnosed with type 2 diabetes by an OGTT, were genotyped for the specified variants. Indices for insulin sensitivity and secretion were calculated. RESULTS: Low birthweight was associated with type 2 diabetes (p = 0.008) and impaired insulin secretion (p = 0.04). Of the tested variants, the risk variant in HHEX showed a trend towards a low birthweight (p = 0.09) and the risk variant in the CDKN2A/2B locus was associated with high birthweight (p = 0.01). The TCF7L2 risk allele was associated with increased risk of type 2 diabetes. Pooling across all nine genes, each risk allele increased the risk of type 2 diabetes by 14%. [corrected] Risk variants in the HHEX, CDKN2A/2B and JAZF1 genes interacted with birthweight, so that the risk of type 2 diabetes was highest in those with lower birthweight (p

Common variants in the TCF7L2 gene help to differentiate autoimmune from non-autoimmune diabetes in young (15-34 years) but not in middle-aged (40-59 years) diabetic patients.

AIMS/HYPOTHESIS: Type 1 diabetes in children is characterised by autoimmune destruction of pancreatic beta cells and the presence of certain risk genotypes. In adults the same situation is often referred to as latent autoimmune diabetes in adults (LADA). We tested whether genetic markers associated with type 1 or type 2 diabetes could help to discriminate between autoimmune and non-autoimmune diabetes in young (15-34 years) and middle-aged (40-59 years) diabetic patients. METHODS: In 1,642 young and 1,619 middle-aged patients we determined: (1) HLA-DQB1 genotypes; (2) PTPN22 and INS variable-number tandem repeat (VNTR) polymorphisms; (3) two single nucleotide polymorphisms (rs7903146 and rs10885406) in the TCF7L2 gene; (4) glutamic acid decarboxylase (GAD) and IA-2-protein tyrosine phosphatase-like protein (IA-2) antibodies; and (5) fasting plasma C-peptide. RESULTS: Frequency of risk genotypes HLA-DQB1 (60% vs 25%, p = 9.4 x 10(-34); 45% vs 18%, p = 1.4 x 10(-16)), PTPN22 CT/TT (34% vs 26%, p = 0.0023; 31% vs 23%, p = 0.034), INS VNTR class I/I (69% vs 53%, p = 1.3 x 10(-8); 69% vs 51%, p = 8.5 x 10(-5)) and INS VNTR class IIIA/IIIA (75% vs 63%, p = 4.3 x 10(-6); 73% vs 60%, p = 0.008) was increased in young and middle-aged GAD antibodies (GADA)-positive compared with GADA-negative patients. The type 2 diabetes-associated genotypes of TCF7L2 CT/TT of rs7903146 were significantly more common in young GADA-negative than in GADA-positive patients (53% vs 43%; p = 0.0004). No such difference was seen in middle-aged patients, in whom the frequency of the CT/TT genotypes of TCF7L2 was similarly increased in GADA-negative and GADA-positive groups (55% vs 56%). CONCLUSIONS/INTERPRETATION: Common variants in the TCF7L2 gene help to differentiate young but not middle-aged GADA-positive and GADA-negative diabetic patients, suggesting that young GADA-negative patients have type 2 diabetes and that middle-aged GADA-positive patients are different from their young GADA-positive counterparts and share genetic features with type 2 diabetes.

HLA-DQB1 genotypes, islet antibodies and beta cell function in the classification of recent-onset diabetes among young adults in the nationwide Diabetes Incidence Study in Sweden.

AIMS/HYPOTHESIS: The World Health Organization considers an aetiological classification of diabetes to be essential. The aim of this study was to evaluate whether HLA-DQB1 genotypes facilitate the classification of diabetes as compared with assessment of islet antibodies by investigating young adult diabetic patients. SUBJECTS AND METHODS: Blood samples were available at diagnosis for 1,872 (90%) of the 2,077 young adult patients (aged 15-34 years old) over a 5-year period in the nationwide Diabetes Incidence Study in Sweden. Islet antibodies were measured at diagnosis in 1,869 patients, fasting plasma C-peptide (fpC-peptide) after diagnosis in 1,522, while HLA-DQB1 genotypes were determined in 1,743. RESULTS: Islet antibodies were found in 83% of patients clinically considered to have type 1 diabetes, 23% with type 2 diabetes and 45% with unclassifiable diabetes. After diagnosis, median fpC-peptide concentrations were markedly lower in patients with islet antibodies than in those without (0.24 vs 0.69 nmol/l, p<0.0001). Irrespective of clinical classification, patients with islet antibodies showed increased frequencies of at least one of the risk-associated HLA-DQB1 genotypes compared with patients without. Antibody-negative patients with risk-associated HLA-DQB1 genotypes had significantly lower median fpC-peptide concentrations than those without risk-associated genotypes (0.51 vs 0.74 nmol/l, p=0.0003). CONCLUSIONS/INTERPRETATION: Assessment of islet antibodies is necessary for the aetiological classification of diabetic patients. HLA-DQB1 genotyping does not improve the classification in patients with islet antibodies. However, in patients without islet antibodies, HLA-DQB1 genotyping together with C-peptide measurement may be of value in differentiating between idiopathic type 1 diabetes and type 2 diabetes.

A dietary exchange of common bread for tailored bread of low glycaemic index and rich in dietary fibre improved insulin economy in young women with impaired glucose tolerance.

OBJECTIVE: To study the possibility of improving blood lipids, glucose tolerance and insulin sensitivity in women with impaired glucose tolerance and a history of gestational diabetes by merely changing the glycaemic index (GI) and dietary fibre (DF) content of their bread. DESIGN: Randomized crossover study where test subjects were given either low GI/high DF or high GI/low DF bread products during two consecutive 3-week periods, separated by a 3-week washout period. An intravenous glucose tolerance test followed by a euglycaemic-hyperinsulinaemic clamp was performed on days 1 and 21 in both the high- and low-GI periods, to assess insulin secretion and insulin sensitivity. Blood samples were also collected on days 1 and 21 for analysis of fasting levels of glucose, insulin, HDL-cholesterol and triacylglycerols (TG). SETTING: Lund University, Sweden. SUBJECTS: Seven women with impaired glucose tolerance. RESULTS: The study shows that a modest dietary modification, confined to a lowering of the GI character and increasing cereal DF of the bread products, improved insulin economy as judged from the fact that all women lowered their insulin responses to the intravenous glucose challenge on average by 35% (0-60 min), in the absence of effect on glycaemia. No changes were found in fasting levels of glucose, insulin, HDL-cholesterol or TG. CONCLUSION: It is concluded that a combination of low GI and a high content of cereal DF has a beneficial effect on insulin economy in women at risk of developing type II diabetes. This is in accordance with epidemiological data, suggesting that a low dietary GI and/or increased intake of whole grain prevent against development of type II diabetes. SPONSORSHIP: Supported by grants from Cerealia Research Foundation.

Genomewide search for type 2 diabetes mellitus susceptibility loci in Finnish families: the Botnia study.

Type 2 diabetes mellitus is a heterogeneous inherited disorder characterized by chronic hyperglycemia resulting from pancreatic beta-cell dysfunction and insulin resistance. Although the pathogenic mechanisms are not fully understood, manifestation of the disease most likely requires interaction between both environmental and genetic factors. In the search for such susceptibility genes, we have performed a genomewide scan in 58 multiplex families (comprising 440 individuals, 229 of whom were affected) from the Botnia region in Finland. Initially, linkage between chromosome 12q24 and impaired insulin secretion had been reported, by Mahtani et al., in a subsample of 26 families. In the present study, we extend the initial genomewide scan to include 32 additional families, update the affectation status, and fine map regions of interest, and we try to replicate the initial stratification analysis. In our analysis of all 58 families, we identified suggestive linkage to one region, chromosome 9p13-q21 (nonparametric linkage [NPL] score 3.9; P<.0002). Regions with nominal P values <.05 include chromosomes 2p11 (NPL score 2.0 [P<.03]), 3p24-p22 (NPL score 2.2 [P<.02]), 4q32-q33 (NPL score 2.5 [P<.01]), 12q24 (NPL score 2.1 [P<.03]), 16p12-11 (NPL score 1.7 [P<.05]), and 17p12-p11 (NPL score 1.9 [P<.03]). When chromosome 12q24 was analyzed in only the 32 additional families, a nominal P value <.04 was observed. Together with data from other published genomewide scans, these findings lend support to the hypothesis that regions on chromosome 9p13-q21 and 12q24 may harbor susceptibility genes for type 2 diabetes.

Inhibition of the rise in FFA by Acipimox partially prevents GH-induced insulin resistance in GH-deficient adults.

To test the hypothesis that GH-induced insulin resistance is mediated by an increase in FFA levels we assessed insulin sensitivity after inhibiting the increase in FFA by a nicotine acid derivative, Acipimox, in nine GH-deficient adults receiving GH replacement therapy. The patients received in a double blind fashion either Acipimox (500 mg) or placebo before a 2-h euglycemic (plasma glucose, 5.5 +/- 0.2 mmol/liter) hyperinsulinemic (serum insulin, 28.7 +/- 6.3 mU/liter) clamp in combination with indirect calorimetry and infusion of [3-(3)H]glucose. Acipimox decreased fasting FFA by 88% (P = 0.012) and basal lipid oxidation by 39% (P = 0.015) compared with placebo. In addition, the insulin-stimulated lipid oxidation was 31% (P = 0.0077) lower during Acipimox than during placebo. Acipimox increased insulin-stimulated total glucose uptake by 36% (P = 0.021) compared with placebo, which mainly was due to a 47% (P = 0.015) increase in glucose oxidation. GH induced insulin resistance is partially prevented by inhibition of lipolysis by Acipimox.

An automated fluorescent single strand conformation polymorphism technique for high throughput mutation screening.

OBJECTIVE: To develop a high throughput mutational detection method by multiple fluorescence-labeled polymerase chain reaction (PCR) products. METHODS: A total of 27 known mutations including 22 substitutions, 3 insertions (1, 2 and 7 bp) and 2 deletions (1 and 2 bp) in the hepatocyte nuclear factor (HNF)-4 alpha, glucokinase and HNF-1 alpha genes were tested. During nested PCR, amplified fragments were labeled with three fluorescent dyes. PCR products were visualized with an ABI-377 fluorescence sequencer using 5% glycerol or 10% sucrose in non-denaturing gel conditions. RESULTS: Twenty-five of 27 variants (93%) could be detected by combining 5% glycerol and 10% sucrose gel matrix conditions. Twenty-two of 27 (82%) and 18 of 27 (67%) variants were identified using 5% glycerol and 10% sucrose conditions, respectively. CONCLUSION: This fluorescence-based PCR single strand conformation polymorphism technique represents a simple, non-hazardous, time-saving and sensitive method for high throughput mutation detection.

Characterization of the annexin I gene and evaluation of its role in type 2 diabetes.

In a previous study, we identified suggestive linkage between type 2 diabetes and a locus on chromosome 9p13-q21. This region contains the gene annexin I (ANXA1), encoding a protein suggested to be involved in both insulin secretion and insulin action. In this study, we sequenced the exon/intron boundaries of the human ANXA1 gene and performed mutation screening in 41 individuals from the initial linkage study. We identified five single nucleotide polymorphisms A58G, A401G, intronic variance sequence (IVS)8-28A/G, IVS11 +31A/G, and IVS12-11T/G, which were further tested for association to diabetes in 197 parent/offspring trios using the transmission disequilibrium test. No significant association with type 2 diabetes was observed, although the common A allele of the +58A/G variant gave a 22:12 transmission distortion (P = 0.12). This variant was further genotyped in 481 case and control subjects, but no difference in allele, genotype, or haplotype frequencies were observed between the groups. Further, a novel polymorphic (CA)(15-25) repeat in intron 11 was genotyped in the subjects included in the initial linkage study. No improvement of the original finding was observed. We therefore concluded that the ANXA1 gene is unlikely to harbor variants that contribute to risk of type 2 diabetes.

Genomewide linkage analysis of stature in multiple populations reveals several regions with evidence of linkage to adult height.

Genomewide linkage analysis has been extremely successful at identification of the genetic variation underlying single-gene disorders. However, linkage analysis has been less successful for common human diseases and other complex traits in which multiple genetic and environmental factors interact to influence disease risk. We hypothesized that a highly heritable complex trait, in which the contribution of environmental factors was relatively limited, might be more amenable to linkage analysis. We therefore chose to study stature (adult height), for which heritability is approximately 75%-90% (Phillips and Matheny 1990; Carmichael and McGue 1995; Preece 1996; Silventoinen et al. 2000). We reanalyzed genomewide scans from four populations for which genotype and height data were available, using a variance-components method implemented in GENEHUNTER 2.0 (Pratt et al. 2000). The populations consisted of 408 individuals in 58 families from the Botnia region of Finland, 753 individuals in 183 families from other parts of Finland, 746 individuals in 179 families from Southern Sweden, and 420 individuals in 63 families from the Saguenay-Lac-St.-Jean region of Quebec. Four regions showed evidence of linkage to stature: 6q24-25, multipoint LOD score 3.85 at marker D6S1007 in Botnia (genomewide P<.06), 7q31.3-36 (LOD 3.40 at marker D7S2195 in Sweden, P<.02), 12p11.2-q14 (LOD 3.35 at markers D12S10990-D12S398 in Finland, P<.05) and 13q32-33 (LOD 3.56 at markers D13S779-D13S797 in Finland, P<.05). In a companion article (Perola et al. 2001 [in this issue]), strong supporting evidence is obtained for linkage to the region on chromosome 7. These studies suggest that highly heritable complex traits such as stature may be genetically tractable and provide insight into the genetic architecture of complex traits.

Assessment of beta-cell function during the oral glucose tolerance test by a minimal model of insulin secretion.

OBJECTIVE: To characterise the performance of beta-cell during a standard oral glucose tolerance test (OGTT). DESIGN: Fifty-six subjects were studied. A minimal analogic model of beta-cell secretion during the OGTT was applied to all OGTTs (see below). The amount of insulin secreted over 120' in response to oral glucose (OGTT-ISR; Insulin Units 120'-1 m-2 BSA) and an index of beta-cell secretory 'force' (beta-Index; pmol.min-2.m-2 BSA) were computed with the aid of the model. In protocol A, 10 healthy subjects underwent two repeat 75 g OGTT with frequent (every 10'-15') blood sampling for glucose and C-peptide to test the reproducibility of OGTT-ISR and beta-Index with a complete or a reduced data set. In protocol B, 7 healthy subjects underwent three OGTTs (50, 100 or 150 g), to test the stability of the beta-Index under different glucose loads. In protocol C, 29 subjects (15 with normal glucose tolerance, 7 with impaired glucose tolerance and 7 with newly diagnosed type 2 diabetes) underwent two repeat 75 g OGTT with reduced (every 30' for 120') blood sampling to compare the reproducibility and the discriminant ratio (DR) of OGTT-ISR and beta-index with the insulinogenic index (IG-Index: Delta Insulin 30' - Basal/Delta Glucose 30' - Basal). In protocol D, 20 subjects (14 with normal glucose tolerance, 5 with impaired glucose tolerance and 1 with newly-diagnosed type 2 diabetes) underwent a 75 g OGTT and an intravenous glucose tolerance test (IVGTT) on separate days to explore the relationships between acute (0'-10') insulin response (AIR) during the IVGTT and beta-index and OGTT-ISR during the OGTT. RESULTS: In all protocols, the minimal analogic model of C-peptide secretion achieved a reasonable fit of the experimental data. In protocol A, a good reproducibility of both beta-index and OGTT-ISR was observed with both complete and reduced (every 30') data sets. In protocol B, increasing the oral glucose load caused progressive increases in OGTT-ISR (from 2.63 +/- 0.70 to 5.11 +/- 0.91 Units.120'-1.m-2 BSA; P < 0.01), but the beta-index stayed the same (4.14 +/- 0.35 vs. 4.29 +/- 0.30 vs. 4.30 +/- 0.33 pmol.min-2.m-2 BSA). In protocol C, both OGTT-ISR and beta-index had lower day-to-day CVs (17.6 +/- 2.2 and 12.4 +/- 2.4%, respectively) and higher DRs (2.57 and 1.74, respectively) than the IG-index (CV: 35.5 +/- 6.3%; DR: 0.934). OGTT-ISR was positively correlated to BMI (P < 0.03), whereas beta-index was inversely related to both fasting and 2 h plasma glucose (P < 0.01 for both). In protocol D, beta-index, but not OGTT-ISR, was significantly correlated to AIR (r = 0.542, P < 0.02). CONCLUSIONS: Analogically modelling beta-cell function during the OGTT provides a simple, useful tool for the physiological assessment of beta-cell function.

Common variants in the beta2-(Gln27Glu) and beta3-(Trp64Arg)--adrenoceptor genes are associated with elevated serum NEFA concentrations and type II diabetes.

AIMS/HYPOTHESIS: Higher NEFA concentrations predict Type II (non-insulin-dependent) diabetes mellitus but it is not known whether higher NEFA concentrations are genetically determined or reflect coexisting obesity. To address this question we studied whether common variants in two genes encoding for key regulators of lipolysis, the beta2- and beta3- adrenoceptors (B2AR and B3AR) are associated with NEFA concentrations and Type II diabetes. METHODS: A total of 1054 Swedish subjects with varying degrees of glucose tolerance were genotyped for the Gln27Glu variant in the B2AR and for the Trp64Arg variant in the B3AR genes using PCR-RFLP. RESULTS: The B2AR Gln27 allele was more frequent in 219 Type II diabetic patients than in 237 non-diabetic subjects (59.8 % vs 52.3 %; OR = 1.72, p = 0.02) while there was no significant difference in the frequency of the B3AR Arg64 allele. Subjects homozygous for the protective alleles (Glu27 and Trp64) had, however, a lower prevalence of diabetes than subjects with other genotype combinations (OR = 0.58, p = 0.03). Among sibling pairs discordant for the B2AR Gln27Glu polymorphism, siblings with an excess of the Gln27 allele had higher fasting insulin (n = 217; p = 0.02) and NEFA concentrations (107 sex-matched pairs; p = 0.01) than siblings with an excess of the Glu27 allele. Among sibling pairs discordant for the B3AR Trp64Arg variant, siblings with the Arg64 allele had higher 2 h glucose (n = 48; p = 0.01) and NEFA concentrations (16 pairs matched for sex; p < 0.04) than siblings with the Trp64Trp64 genotype. CONCLUSIONS/INTERPRETATION: Common variants in the beta2- and beta3- adrenoceptor genes are associated with increased fasting insulin and NEFA concentrations and could increase susceptibility to Type II diabetes.

Functional consequences of mutations in the MODY4 gene (IPF1) and coexistence with MODY3 mutations.

AIMS/HYPOTHESIS: The aim of this study was to examine the putative role of mutations in the insulin promoter 1 (IPF1) gene in early-onset diabetes. METHODS: We carried out mutation screening of the IPF1 gene in 115 Scandinavian families with at least two members with onset of diabetes younger than 40 years. The allele frequencies were also tested in 183 unrelated patients with late-onset Type II (non-insulin-dependent) diabetes mellitus and in 92 non-diabetic control subjects. RESULTS: Two novel IPF1 variants (G212R and P239Q) and one previously reported (D76N) IPF1 variant were identified in the 115 families (3.5%). The D76N variant was found in one MODY3 family (S315fsinsA of HNF1alpha) and also in two families with late-onset Type II diabetes. The P239Q variant was identified in two families with early-onset diabetes including one with MODY3 (R272C of HNF1alpha) and in three families with late-onset Type II diabetes. Despite the fact that the variants did not segregate completely with diabetes, the non-diabetic carriers of the IPF1 variants had increased blood glucose concentrations (p < 0.05) and reduced insulin:glucose ratios (p < 0.05) during an oral glucose tolerance test compared with non-diabetic family members without these variants. In addition, when the G212R and P239Q variants were expressed in cells without IPF1 i.e.. Nes2y cells, both variants showed about a 50% reduction in their ability to activate insulin gene transcription compared to wild-type IPF1, as measured by reporter gene assay. CONCLUSION/INTERPRETATION: Although mutations in the IPF-1 gene are rare in early- (3.5 %) and late-onset (2.7 % ) Type II diabetes, they are functionally important and occur also in families with other MODY mutations.

A gene conferring susceptibility to type 2 diabetes in conjunction with obesity is located on chromosome 18p11.

Genome-wide nonparametric linkage analysis of 480 sib-pairs affected with type 2 diabetes revealed linkage to a previously unreported susceptibility locus on chromosome 18p11. This result improved with stringent subphenotyping using age- and sex-adjusted BMI, ultimately reaching a logarithm of odds of 3.82 (allele sharing 0.6654) at a point between markers D18S976 and D18S391 when the most obese 20% of the sample was analyzed. Several genes on chromosome 18 have been suggested as metabolic disease candidates, but none of these colocalize with our linkage result. We conclude that our results provide support for the presence of a currently uncharacterized gene on chromosome 18p, certain alleles of which confer increased susceptibility to type 2 diabetes in conjunction with obesity. We additionally observed moderate evidence for linkage to chromosome 1, near marker D1S3462; chromosome 4, near marker D4S2361; chromosome 5, near marker D5S1505; and chromosome 17, near marker D17S1301.

Hypothalamic-pituitary-adrenal response to different tests in type 1 diabetes mellitus.

OBJECTIVE: To determine whether different tests of the adrenocorticotropic hormone (ACTH) reserve are influenced by diabetic state and metabolic control in newly diagnosed type 1 diabetic patients. DESIGN AND METHODS: We evaluated the ACTH reserve in 10 patients with uncomplicated type 1 diabetes during periods of poor and improved metabolic control and in 10 healthy subjects. The ACTH-cortisol secretion was assessed by a diurnal profile, an intravenous corticotropin-releasing hormone (CRH) test and an insulin tolerance test (ITT). RESULTS: The diurnal profiles were similar in all groups. CRH resulted in a diminished ACTH response during poor compared with improved metabolic control (mean+/-SD) (AUC 4950+/-4227 vs. 5847+/-3788 ng/L min, p<0.05). The response in the diabetic patients during improved metabolic control was of the same magnitude as in the control subjects (5934+/-1778 ng/L x min). ITT elicited a similar ACTH and cortisol response in the diabetic patients during poor and improved metabolic control as in the healthy control subjects. CONCLUSIONS: The ITT was uninfluenced by diabetic state and metabolic control and should therefore be considered the method of choice in evaluation of the ACTH reserve in patients with type 1 diabetes.

Characterization, chromosomal localization, and expression during hematopoietic differentiation of the gene encoding Arl6ip, ADP-ribosylation-like factor-6 interacting protein (ARL6).

Proliferation and differentiation of hematopoietic stem cells and progenitors are regulated by signals from the microenvironment, involving both secreted cytokines and adhesion molecules. The exact mechanisms by which cytokines act on hematopoietic development are still not well understood. To extend the molecular characterization of gene regulation during cytokine-induced hematopoiesis, we applied mRNA differential display to identify genes regulated when multipotent progenitor cells are allowed to differentiate into monocytes and neutrophils. Here we report the isolation and characterization of a gene that is downregulated during myeloid differentiation and encodes a 23-kDa protein with four putative transmembrane segments. The gene, which we named Arl6ip, is identical to a mouse gene recently identified by its physical interaction with ADP-ribosylation-like factor-6 (ARL6), belonging to the Ras superfamily. We add information on its full-length characterization as well as its regulation during hematopoiesis. It is expressed in all hematopoietic cell lineages, but the highest level of expression is found in early myeloid progenitor cells. Preliminary studies by immunofluorescence microscopy revealed that the ARL6IP protein is predominantly localized to intracytoplasmic membranes. This suggests an involvement of the Arl6ip gene in protein transport, membrane trafficking, or cell signaling during hematopoietic maturation.

Association between the human glycoprotein PC-1 gene and elevated glucose and insulin levels in a paired-sibling analysis.

We studied whether there is an association between the single nucleotide polymorphism c.533A>C (K121Q) in the glycoprotein PC-1 gene and features of the metabolic syndrome in case-control and intrafamily association studies in 922 subjects from Finland and Sweden. No difference was observed in the Q allele frequency between control subjects and type 2 diabetic subjects (12.9 vs. 15.1%). The QK genotype was associated with higher fasting plasma glucose (FPG) concentrations than the KK genotype in type 2 diabetic patients (P <0.001) and their relatives (P <0.05). A permutation test of siblings discordant for the QK and KK genotypes also showed that the nondiabetic siblings with the QK genotype had higher FPG (6.1 +/- 2.0 vs. 5.4 +/- 0.6 mmo/l, P <0.001) and fasting insulin (7.0 +/- 3.6 vs. 4.8 +/- 2.6 mU/l, P <0.05) concentrations than the carriers of the KK genotype. In addition, diabetic siblings with the QK genotype had higher systolic blood pressure (147.0 +/- 18.0 vs. 140.0 +/- 18.7 mmHg, P <0.05) and higher fasting (9.9 +/- 3.0 vs. 8.8 +/- 2.8 mmol/l, P <0.05) and 2-h plasma glucose (17.3 +/- 8.5 vs. 12.9 +/- 4.2 mmol/l, P < 0.05) concentrations than the diabetic carriers of the KK genotype. The present study shows that, although the Q allele of the human glycoprotein PC-1 gene is associated with surrogate measures of insulin resistance, it may not be enough to increase the susceptibility to type 2 diabetes.

The T 54 allele of the intestinal fatty acid-binding protein 2 is associated with a parental history of stroke.

To test the hypothesis that the A/T polymorphism of the fatty acid-binding protein 2 gene (FABP2) is associated with impaired lipid metabolism and cardiovascular disease, we compared clinical characteristics and a parental history of cardiovascular disease between 213 sibling pairs discordant for the polymorphism. Siblings with an excess of the T54 allele had higher triglyceride (P = 0.002) and cholesterol (P = 0.019) concentrations than siblings with the A54 allele. Parents of offspring with the T54T and T54A genotypes reported an increased prevalence of stroke compared to parents of offspring with the A54A genotype (P = 0.007). In summary, we have confirmed the association of the FABP2 T54 allele with increased concentrations of cholesterol and triglycerides in genotype-discordant sibling pairs. We also present novel evidence that genetic variation in the FABP2 gene may increase susceptibility to stroke.