- Research article
- Open Access
- Open Peer Review
HNF1AG319S variant, active cigarette smoking and incident type 2 diabetes in Aboriginal Canadians: a population-based epidemiological study
© Ley et al; licensee BioMed Central Ltd. 2011
- Received: 20 July 2010
- Accepted: 5 January 2011
- Published: 5 January 2011
In a recent report of large-scale association analysis, a type 2 diabetes susceptibility locus near HNF1A was identified in predominantly European descent populations. A population-specific G319S polymorphism in HNF1A was previously identified in Aboriginal Canadians who have a high prevalence of type 2 diabetes. We aimed to investigate the association of the HNF1A G319S polymorphism with incident type 2 diabetes and to assess whether clinical risk variables for type 2 diabetes influence the association in an Aboriginal population.
Of 606 participants who were free of diabetes at baseline in 1993-1995, 540 (89.1%) participated in 10-year follow-up assessments in 2003-2005. Fasting glucose and a 75-g oral glucose tolerance test were obtained to determine incident type 2 diabetes. Participants were genotyped for the HNF1A G319S polymorphism. Interviewers administered questionnaires on smoking behavior.
The incidence rates of type 2 diabetes were 14.2% (55/388) in major allele homozygotes and 31.2% (29/93) in minor allele carriers (p < 0.001). The HNF1A G319S carrier status was associated with incident type 2 diabetes (odds ratio [OR] 3.78 [95% CI 2.13-6.69]) after adjustment for age, sex, hypertension, triglyceride, HDL cholesterol, and waist circumference. A statistical interaction was observed between HNF1A G319S and baseline active cigarette smoking on the development of type 2 diabetes with similar adjustment (p = 0.006). When participants were stratified by baseline smoking status, HNF1A G319S carriers who were active smokers had increased risk of developing diabetes (OR 6.91 [95% CI 3.38-14.12]), while the association was attenuated to non-significance among non-smokers (1.11 [0.40-3.08]).
The HNF1A G319S variant is associated with incident type 2 diabetes in Aboriginal Canadians. Furthermore, cigarette smoking appears to amplify incident diabetes risk in carriers of HNF1A G319S.
- Waist Circumference
- Incident Diabetes
- Active Smoker
- Incident Type
- S319 Allele
Type 2 diabetes has become a global epidemic, particularly among Aboriginal Canadians who have a 3-5 times higher prevalence of the disease compared to non-Aboriginal Canadians . Both environmental and genetic factors have been attributed to this diabetes epidemic. Aboriginal populations have been exposed to a rapid epidemiological transition in conjunction with unique genetic susceptibility to diabetes . We have previously reported that a glycine to serine substitution at codon 319 (G319S) of the HNF1A gene in an Aboriginal population was significantly associated with increased type 2 diabetes prevalence in cross-sectional analysis .
The HNF1A gene codes for a transcription factor, hepatic nuclear factor (HNF)-1α, which plays an important role in pancreatic β-cell function [4–6]. In various populations, mutations in the HNF1A gene are a common cause of the maturity-onset diabetes of the young (MODY) [5–8], which is characterized by early age of onset and a marked defect in insulin secretion. Unlike these common HNF1A variants, the diabetes phenotype that emerged in S319 allele carriers was non-MODY type 2 diabetes . The S319 allele was associated with accelerated onset of type 2 diabetes in a gene-dosage manner , with ~7 years earlier onset for each copy of the S319 allele carried.
In a recent report of large-scale association analysis, a type 2 diabetes susceptibility locus near HNF1A was identified in predominantly European descent populations . However, there has been no prospective study investigating whether the population-specific variant, G319S, influences the development of type 2 diabetes in Aboriginal Canadians who have a high prevalence of type 2 diabetes . Accompanying this high prevalence of type 2 diabetes, the population has high prevalence rates of diabetes risk variables including obesity and smoking [11–14], which are important public health concern. However, no study has assessed whether clinically measured risk variables influence the association between the G319S variant and incident type 2 diabetes in Aboriginal Canadians. We aimed to determine the association of the HNF1A G319S variant with the incidence of type 2 diabetes and to assess whether clinical risk variables for type 2 diabetes influence this association.
The Sandy Lake Health and Diabetes Project is a population-based cohort study designed to determine the incidence of diabetes and its associated risk factors in an Aboriginal Canadian population. Between 1993 and 1995, baseline data were obtained from 728 of 1018 (72%) eligible residents of Sandy Lake First Nation aged 10-79 years . Signed and informed consent was obtained from all participants, and the study was approved by the Sandy Lake First Nation Band Council and University of Toronto Ethics Review Committee.
Between 2003 and 2005, among 606 participants who were free of diabetes at baseline, 540 (89.1%) participated in the 10-year follow-up evaluation . Those who did not return for follow-up (n = 66) were slightly younger compared with respondents, but not different according to sex and body mass index (BMI). After excluding participants who died during follow-up, who had missing baseline fasting and 2-hour postload glucose, or who had diabetes at baseline defined by the revised World Health Organization diagnostic criteria , 492 men and women remained in the present study.
Baseline data collection and laboratory procedures
At baseline, blood samples were collected after an 8- to 12-hour overnight fast to determine fasting glucose, insulin, and lipid profile . A 75-g OGTT was administered, and a second blood sample for glucose was drawn at 120 minutes postload. Glucose concentration was determined using the glucose oxidase method. Fasting plasma insulin concentration was analyzed by radioimmunoassay (Pharmacia, Piscataway, NJ). The homoeostasis model assessment (HOMA) of insulin resistance was estimated by the method of Matthews et al. . Triglyceride, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol were determined using standard methods described in the Lipid Research Clinics manual of operations .
Each anthropometric/blood pressure measurement was performed twice, and the average was used in analyses. Height and weight were measured using an Accustat wall-mounted stadiometer (Genentech Inc., San Francisco, California) and a hospital balance beam scale (Health-o-Meter Inc., Bridgeview, Illinois), respectively. Waist circumference was measured at the iliac crest using an inelastic tape.
Interviewer-administered questionnaires were used to collect information on cigarette smoking behavior. Active smokers were defined as those reporting current use of cigarettes at the time of the baseline survey. These participants were asked about their average number of cigarettes smoked daily. Smoking pack-years were calculated by dividing the number of daily cigarettes used by 20 and then multiplying by the smoking duration up to baseline data collection.
Restriction analysis with BseDI followed by polyacrylamide gel electrophoresis was used to detect the DNA change underlying the HNF1A G319S amino acid variant . DNA sequence-proven controls were run as standards for each genotyping reaction and a random 15% of samples were studied on another day with independent genotyping reactions. The concordance between replicates was 100%.
Definition of incident type 2 diabetes
Incident type 2 diabetes at follow-up was defined as the presence of any one of the following at follow-up assessments: 1) fasting plasma glucose ≥ 7.0 mmol/l or 2-hour postload plasma glucose ≥ 11.1 mmol/l on a 2-hour OGTT; 2) current use of insulin or oral hypoglycemic agents; or 3) a positive response to the question: Have you ever been diagnosed with diabetes by a nurse (practitioner) or a doctor ? Of 492 participants, follow-up blood samples were collected from 383 (77.8%) participants, while the diabetes status of 109 (22.2%) participants, who were not available for the follow-up blood sampling visit, was ascertained based on self-reported clinical diagnosis of diabetes through a phone interview. The distributions of S319 allele carriers between those with and without blood samples at follow-up were not statistically different (p = 0.85).
Distributions of continuous variables were assessed for normality, and natural log transformations of skewed variables were used in statistical analyses. Descriptive statistics for continuous variables were summarized as mean ± standard deviation or median (25th-75th percentile) for variables with a skewed distribution. Categorical variables were summarized using proportions. Baseline characteristics of S319 allele carriers and non-carriers were compared using Welch's modified t test or Chi-Square test as appropriate. Fisher's exact test was used to assess HNF1A genotype frequencies. S/S319 and S/G319 genotypes were combined in subsequent analyses due to a small number of S/S319 carriers (n = 1) in the study population. For the purpose of analysis and discussion, individuals with S/S and S/G genotypes will be referred to as "S319 carriers".
Multiple logistic regression analysis was conducted to evaluate the association of the HNF1A G319S carrier status with incident type 2 diabetes. The HNF1A G319S polymorphism was assessed with adjustment for demographic information (age and sex) in model 1. Subsequent models were additionally adjusted for clinical risk variables, including hypertension, dyslipidemia, hyperglycemia, and insulinemia, that were reported to be associated with incident diabetes in this population : Model 2 was adjusted for model 1 variables in addition to baseline hypertension, triglyceride, HDL cholesterol, and waist circumference (or BMI); model 3 was adjusted for model 2 variables in addition to baseline fasting glucose; and model 4 was adjusted for model 3 variables in addition to baseline HOMA-insulin resistance.
Interactions of HNF1A G319S with previously assessed risk variables for incident diabetes , including age, BMI, waist circumference, hypertension (yes/no), HDL and LDL cholesterol, triglyceride, fasting insulin, pack-year and active cigarette smoking (yes/no), were tested by adding an interaction term to a model that included the G319S carrier status and the main effect of interest with adjustment for age, sex, hypertension, triglyceride, and waist circumference. Data analyses were performed with the use of SAS software, version 9.2 (SAS Institute, Cary, NC), and with the consideration of two-sided p < 0.05 as statistically significant for all analyses.
Baseline characteristics of diabetes-free subjects according to the HNF1A G319S carrier status, the Sandy Lake Health and Diabetes Project (1993-1995)
S319/G319 + S319/S319
26.9 ± 13.6
25.1 ± 10.8
Body mass index (kg/m2)
26.1 ± 5.85
25.9 ± 5.11
Waist circumference (cm)
96.3 ± 14.7
96.3 ± 12.5
Systolic blood pressure (mmHg)c
Diastolic blood pressure (mmHg)a
65.1 ± 11.9
65.5 ± 11.8
HDL cholesterol (mmol/l)a
1.25 ± 0.28
1.24 ± 0.27
LDL cholesterol (mmol/l)a
2.49 ± 0.74
2.44 ± 0.78
Fasting glucose (mmol/l)a
5.39 ± 0.49
5.33 ± 0.52
2-hour postload glucose (mmol/l)a
5.63 ± 1.75
5.61 ± 1.88
Fasting insulin (pmol/l)c
Active cigarette smoker, yesb
HNF1A genotype frequencies according to 10-year cumulative incident type 2 diabetes
S319/G319 + S319/S319
< 0.001 (vs. G319/G319)
Multiple logistic regression analysis of the association of the G319S carrier status in HNF1A with the incidence of type 2 diabetes
OR (95% CI)
Model 1: age + sex
Model 2: model 1 + hypertension + triglyceride + HDL cholesterol + waist circumference
Model 3: model 2 + fasting glucose
Model 4: model 3 + HOMA-insulin resistance
There were no statistically significant interactions of the HNF1A G319S polymorphism with previously reported risk factors of incident diabetes in this population  including age, BMI, waist circumference, hypertension (yes/no), HDL and LDL cholesterol, triglyceride, and fasting insulin on the outcome of incident type 2 diabetes after adjustment for age, sex, hypertension, triglyceride, and waist circumference (all p ≥ 0.05) (data not shown), except for fasting insulin (p = 0.03). When participants were stratified by low and high insulin level groups (median = 99 pmol/l), the association of HNF1A G319S with incident type 2 diabetes remained significant in both groups although the association in the low insulin group was stronger compared to the high insulin group (OR 6.96 [95% CI 2.73-17.72] and 2.53 [1.14-5.60], respectively).
We found that the HNF1A G319S polymorphism was associated with increased risk of developing type 2 diabetes after adjustment for previously reported baseline clinical risk factors . An interaction between the G319S variant and active cigarette smoking at baseline on the outcome of incident type 2 diabetes was evident after adjustment for age, sex, hypertension, triglyceride, and waist circumference. When participants were stratified by active cigarette smoking status at baseline, S319 was strongly associated with increased risk of developing type 2 diabetes among active smokers, while the association was attenuated to non-significance among non-smokers. Thus, HNF1A G319S is associated with the future development of type 2 diabetes in this Aboriginal population, and this association is amplified in the presence of cigarette smoking.
Recently, a type 2 diabetes susceptibility locus near HNF1A was identified in large-scale association analysis of predominantly European descent populations . In a prospective cohort study from Scandinavian countries, a functional variant, HNF1A I27L, was associated with increased future risk for type 2 diabetes in Scandinavian countries (Hazard Ratio 1.2 [95% CI 1.1-1.3]) . In several studies investigated using case-control designs, however, the positive association between genetic variations in HNF1A and type 2 diabetes was not observed [19, 20]. Holmkvist et al.  argued that case-control studies are less effective at detecting small effects because case and control subjects are often ascertained differently. Hence, prospective cohort studies where all individuals have undergone the same measurements to identify the disease as in the present study and that of Holmkvist et al.  would circumvent this issue.
While the HNF1A G319S polymorphism demonstrated reduced in vitro capacity to transactivate insulin response, this disorder was not as severe as that seen in some nonsense mutations in HNF1A that underlie MODY type 3 . Carriers of S319 do not develop MODY; rather in the context of obesity and insulin resistance, carriers appear to have a compromised ability to mount an insulin response, resulting in earlier loss of glycemic control . Recently, the HNF1A G319S genomic sequence was reported to give rise to two abnormal transcripts, with altered quantities of the normal splicing products and reduced total HNF1A transcript levels . Thus, HNF1A G319S might compromise insulin response through at least two mechanisms: a failure of the mutant protein to transactivate insulin response and decreased translation of normal HNF-1α due to abnormal splicing. Since HNF-1α protein plays a key role in β-cell function , the reduction in normal HNF-1α activity may compromise β-cell function and further explain the interaction between the HNF1A G319S polymorphism and fasting insulin on the outcome of incident type 2 diabetes observed in our study.
The presence of cigarette smoking appears to amplify the predisposition to the development of type 2 diabetes in carriers of HNF1A G319S. To our knowledge, there is no previously reported relation between smoking and loss of glycemic control in individuals with other polymorphisms in HNF1A or in other MODY genes. A meta-analysis report indicated that active smoking behavior might be generally associated with increased risk for developing type 2 diabetes . In a European cohort study of participants aged 25-74 years, the risk for type 2 diabetes in men increased in a dose-response manner with the increasing number of cigarette consumption . The underlying mechanism whereby cigarette consumption increases diabetes risk is not entirely clear. Nonetheless, smoking has been previously associated with insulin resistance [24, 25]. In a non-randomized experimental trial, smoking acutely impaired glucose tolerance and insulin sensitivity, and increased serum LDL cholesterol, triglyceride, blood pressure, and heart rate . In a double-blind, cross-over, placebo-controlled, randomized experimental study, nicotine infusion further aggravated the insulin resistance status among individuals with type 2 diabetes, but not among control subjects without diabetes . Therefore, participants who were likely to have reduced insulin function were more susceptible to the detrimental effects of nicotine. In addition, it was speculated by others that nicotine or other agents in cigarette smoke might directly induce pancreatic injuries  and effect insulin secretion by inducing oxidative stress in the pancreas and subsequently inducing loss of β-cells . In the currently study population, we have previously reported that baseline active smoking status was not independently associated with increase risk of incident type 2 diabetes . However, HNF1A G319S carriers who were active smokers had increased risk of developing diabetes in the present study. Hence, smokers who carry S319 allele, and therefore are exposed to compromised insulin function , are at increased risk of developing diabetes.
Limitations of our study include challenges of conducting investigations in a remote community setting. Specifically, we were unable to collect interim data to analyze the time to the onset of type 2 diabetes. We were also unable to obtain follow-up blood samples from all participants: diabetes outcome assessments of 109 (22.2%) participants were by self-reported clinical diagnosis only. This 22.2% without blood samples might have caused under-reporting of incident diabetes. We did not have a number of cigarettes smoked by former smokers at baseline. Therefore, we excluded 75 former smokers in our smoking dose-response analysis by pack-years (15.6% of total participants who were genotyped). This might have contributed to the attenuated interaction observed between the G319S variant and smoking dose in this study. We also note that our study results, especially the smoking interaction, need to be confirmed in other populations. Nonetheless, the current study was able to retain a high 10-year follow-up rate of 89.1% and was able to investigate the prospective association between the population-specific genetic variation in HNF1A and incident type 2 diabetes.
The population-specific HNF1A G319S variant was associated with incident type 2 diabetes in Aboriginal Canadians. Our results support that an environmental variable, cigarette smoking, may influence the development of the diabetes phenotype in the HNF1A G319S carriers. This is a particularly important public health concern among Aboriginal populations of Canada who have high prevalence rates of smoking and type 2 diabetes compared to non-Aboriginal populations [1, 28]. In future genetic studies, we recommend that potential gene-environment interactions be taken into consideration when investigating the type 2 diabetes as an outcome.
This work was supported by grants from the Canadian Institutes of Health Research (CIHR) and Genome Canada, through the Ontario Genomic Institute; a CIHR Frederick Banting and Charles Best Canada Graduate Scholarship to SHL.; the Edith Schulich Vinet Canada Research Chair (Tier I) in Human Genetics, the Martha Blackburn Chair in Cardiovascular Genetics, and the Jacob J. Wolfe Distinguished Medical Research Chair at the University of Western Ontario to RAH.; the Canadian Diabetes Association (CDA) Chair in Diabetes Management and the Ian McWhinney Chair in Family Medicine at the University of Western Ontario to SBH.; a CIHR Clinical Research Initiative New Investigator Award, CDA Clinician-Scientist incentive funding and a University of Toronto Banting and Best Diabetes Centre New Investigator Award to RR.; the Sam and Judy Pencer Family Chair in Diabetes Research at Mount Sinai Hospital and University of Toronto to BZ; CIHR Canada Research Chair in the Epidemiology of Type 2 Diabetes and Ontario Ministry of Research and Innovation Early Researcher Award to AJH. We are indebted to the leadership and community members of Sandy Lake First Nation for their enthusiastic partnership and participation in this project.
- Young TK, Reading J, Elias B, O'Neil JD: Type 2 diabetes mellitus in Canada's First Nations: status of an epidemic in progress. CMAJ. 2000, 163: 561-566.PubMedPubMed CentralGoogle Scholar
- Hegele RA, Zinman B, Hanley AJG, Harris SB, Barrett PH, Cao H: Genes, environment and Oji-Cree type 2 diabetes. Clin Biochem. 2003, 36: 163-170. 10.1016/S0009-9120(03)00004-3.View ArticlePubMedGoogle Scholar
- Hegele RA, Cao H, Harris SB, Hanley AJG, Zinman B: The hepatic nuclear factor-1alpha G319S variant is associated with early-onset type 2 diabetes in Canadian Oji-Cree. J Clin Endocrinol Metab. 1999, 84: 1077-1082. 10.1210/jc.84.3.1077.PubMedGoogle Scholar
- Ryffel G: Mutations in the human genes encoding the transcription factors of the hepatocyte nuclear factor (HNF)1 and HNF4 families: functional and pathological consequences. J Mol Endocrinol. 2001, 27: 11-29. 10.1677/jme.0.0270011.View ArticlePubMedGoogle Scholar
- Fajans SS, Bell GI, Polonsky KS: Molecular mechanisms and clinical pathophysiology of maturity-onset diabetes of the young. N Engl J Med. 2001, 345: 971-980. 10.1056/NEJMra002168.View ArticlePubMedGoogle Scholar
- Ellard S, Colclough K: Mutations in the genes encoding the transcription factors hepatocyte nuclear factor 1 alpha (HNF1A) and 4 alpha (HNF4A) in maturity-onset diabetes of the young. Hum Mutat. 2006, 27: 854-869. 10.1002/humu.20357.View ArticlePubMedGoogle Scholar
- Yamagata K, Oda N, Kaisaki PJ, Menzel S, Furuta H, Vaxillaire M, Southam L, Cox RD, Lathrop GM, Boriraj VV, et al: Mutations in the hepatocyte nuclear factor-1α gene in maturity-onset diabetes of the young (MODY3). Nature. 1996, 384: 455-458. 10.1038/384455a0.View ArticlePubMedGoogle Scholar
- Vaxillaire M, Rouard M, Yamagata K, Oda N, Kaisaki P, Boriraj V, Chevre J, Boccio V, Cox R, Lathrop G, et al: Identification of nine novel mutations in the hepatocyte nuclear factor 1 alpha gene associated with maturity-onset diabetes of the young (MODY3). Hum Mol Genet. 1997, 6: 583-586. 10.1093/hmg/6.4.583.View ArticlePubMedGoogle Scholar
- Triggs-Raine BL, Kirkpatrick RD, Kelly SL, Norquay LD, Cattini PA, Yamagata K, Hanley AJ, Zinman B, Harris SB, Barrett PH, et al: HNF-1alpha G319S, a transactivation-deficient mutant, is associated with altered dynamics of diabetes onset in an Oji-Cree community. Proc Natl Acad Sci USA. 2002, 99: 4614-4619. 10.1073/pnas.062059799.View ArticlePubMedPubMed CentralGoogle Scholar
- Voight BF, Scott LJ, Steinthorsdottir V, Morris AP, Dina C, Welch RP, Zeggini E, Huth C, Aulchenko YS, Thorleifsson G, et al: Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 42: 579-589. 10.1038/ng.609.Google Scholar
- Harris S, Gittelsohn J, Hanley A, Barnie A, Wolever TM, Gao J, Logan A, Zinman B: The prevalence of NIDDM and associated risk factors in Native Canadians. Diabetes Care. 1997, 20: 185-187. 10.2337/diacare.20.2.185.View ArticlePubMedGoogle Scholar
- Harris SB, Zinman B, Hanley A, Gittelsohn J, Hegele R, Connelly PW, Shah B, Hux JE: The impact of diabetes on cardiovascular risk factors and outcomes in a native Canadian population. Diabetes Res Clin Pract. 2002, 55: 165-173. 10.1016/S0168-8227(01)00316-3.View ArticlePubMedGoogle Scholar
- Liu J, Young TK, Zinman B, Harris SB, Connelly PW, Hanley AJG: Lifestyle variables, non-traditional cardiovascular risk factors, and the metabolic syndrome in an Aboriginal Canadian population. Obesity. 2006, 14: 500-508. 10.1038/oby.2006.65.View ArticlePubMedGoogle Scholar
- Ley SH, Harris SB, Mamakeesick M, Noon T, Fiddler E, Gittelsohn J, Wolever TM, Connelly PW, Hegele RA, Zinman B, et al: Metabolic syndrome and its components as predictors of incident type 2 diabetes mellitus in an Aboriginal community. CMAJ. 2009, 180: 617-624.View ArticlePubMedPubMed CentralGoogle Scholar
- World Health Organization: Definition, diagnosis, and classification of diabetes mellitus and its complications: report of a WHO consultation. Definition, diagnosis, and classification of diabetes mellitus and its complications: report of a WHO consultation (Editor ed.). 1999, City: World Health OrganizationGoogle Scholar
- Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC: Homeostasis model assessment: insulin resistance and β-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985, 28: 412-419. 10.1007/BF00280883.View ArticlePubMedGoogle Scholar
- Lipid Research Clinics Program: Manual of Laboratory Operations. 1984, Washington, U.S. Govt. Printing Office, (NIH publ. no. 75-6282)., 1-81.Google Scholar
- Holmkvist J, Almgren P, Lyssenko V, Lindgren CM, Eriksson KF, Isomaa B, Tuomi T, Nilsson P, Groop L: Common variants in maturity-onset diabetes of the young genes and future risk of type 2 diabetes. Diabetes. 2008, 57: 1738-1744. 10.2337/db06-1464.View ArticlePubMedGoogle Scholar
- Winckler W, Burtt NP, Holmkvist J, Cervin C, de Bakker PIW, Sun M, Almgren P, Tuomi T, Gaudet D, Hudson TJ, et al: Association of common variation in the HNF1alpha gene region with risk of type 2 diabetes. Diabetes. 2005, 54: 2336-2342. 10.2337/diabetes.54.8.2336.View ArticlePubMedGoogle Scholar
- Weedon MN, Owen KR, Shields B, Hitman G, Walker M, McCarthy MI, Hattersley AT, Frayling TM: A large-scale association analysis of common variation of the HNF1alpha gene with type 2 diabetes in the U.K. Caucasian population. Diabetes. 2005, 54: 2487-2491. 10.2337/diabetes.54.8.2487.View ArticlePubMedGoogle Scholar
- Harries LW, Sloman MJ, Sellers EAC, Hattersley AT, Ellard S: Diabetes susceptibility in the Canadian Oji-Cree population is moderated by abnormal mRNA processing of HNF1A G319S transcripts. Diabetes. 2008, 57: 1978-1982. 10.2337/db07-1633.View ArticlePubMedPubMed CentralGoogle Scholar
- Willi C, Bodenmann P, Ghali WA, Faris PD, Cornuz J: Active smoking and the risk of type 2 diabetes: A systematic review and meta-analysis. JAMA. 2007, 298: 2654-2664. 10.1001/jama.298.22.2654.View ArticlePubMedGoogle Scholar
- Meisinger C, Doring A, Thorand B, Lowel H: Association of cigarette smoking and tar and nicotine intake with development of type 2 diabetes mellitus in men and women from the general population: the MONICA/KORA Augsburg Cohort Study. Diabetologia. 2006, 49: 1770-1776. 10.1007/s00125-006-0298-0.View ArticlePubMedGoogle Scholar
- Frati AC, Iniestra F, Ariza CR: Acute effect of cigarette smoking on glucose tolerance and other cardiovascular risk factors. Diabetes Care. 1996, 19: 112-118. 10.2337/diacare.19.2.112.View ArticlePubMedGoogle Scholar
- Axelsson T, Jansson PA, Smith U, Eliasson B: Nicotine infusion acutely impairs insulin sensitivity in type 2 diabetic patients but not in healthy subjects. J Intern Med. 2001, 249: 539-544. 10.1046/j.1365-2796.2001.00840.x.View ArticlePubMedGoogle Scholar
- Chowdhury P, MacLeod S, Udupa KB, Rayford PL: Pathophysiological effects of nicotine on the pancreas: an update. Exp Biol Med. 2002, 227: 445-454.Google Scholar
- Xie X-t, Liu Q, Wu J, Wakui M: Impact of cigarette smoking in type 2 diabetes development. Acta Pharmacol Sin. 2009, 30: 784-787. 10.1038/aps.2009.49.View ArticlePubMedPubMed CentralGoogle Scholar
- Waldram JB, Herring DA, Young TK: Aboriginal Health in Canada. 2006, Toronto: University of Toronto Press Incorporated, 2Google Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2350/12/1/prepub
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