| 181. |
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| 182. |
- Renström, Frida, et al.
(author)
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Season-dependent associations of circadian rhythm-regulating loci (CRY1, CRY2 and MTNR1B) and glucose homeostasis : the GLACIER Study
- 2015
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In: Diabetologia. - : Springer Science and Business Media LLC. - 0012-186X .- 1432-0428. ; 58:5, s. 997-1005
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Journal article (peer-reviewed)abstract
- Aims/hypothesis The association of single nucleotide polymorphisms (SNPs) proximal to CRY2 and MTNR1B with fasting glucose is well established. CRY1/2 and MTNR1B encode proteins that regulate circadian rhythmicity and influence energy metabolism. Here we tested whether season modified the relationship of these loci with blood glucose concentration. Methods SNPs rs8192440 (CRY1), rs11605924 (CRY2) and rs10830963 (MTNR1B) were genotyped in a prospective cohort study from northern Sweden (n = 16,499). The number of hours of daylight exposure during the year ranged from 4.5 to 22 h daily. Owing to the non-linear distribution of daylight throughout the year, season was dichotomised based on the vernal and autumnal equinoxes. Effect modification was assessed using linear regression models fitted with a SNP x season interaction term, marginal effect terms and putative confounding variables, with fasting or 2 h glucose concentrations as outcomes. Results The rs8192440 (CRY1) variant was only associated with fasting glucose among participants (n = 2,318) examined during the light season (beta = -0.04 mmol/l per A allele, 95% CI -0.08, -0.01, p = 0.02, p (interaction) = 0.01). In addition to the established association with fasting glucose, the rs11605924 (CRY2) and rs10830963 (MTNR1B) loci were associated with 2 h glucose concentrations (beta = 0.07 mmol/l per A allele, 95% CI 0.03, 0.12, p = 0.0008, n = 9,605, and beta = -0.11 mmol/l per G allele, 95% CI -0.15, -0.06, p < 0.0001, n = 9,517, respectively), but only in participants examined during the dark season (p (interaction) = 0.006 and 0.04, respectively). Repeated measures analyses including data collected 10 years after baseline (n = 3,500) confirmed the results for the CRY1 locus (p (interaction) = 0.01). Conclusions/interpretation In summary, these observations suggest a biologically plausible season-dependent association between SNPs at CRY1, CRY2 and MTNR1B and glucose homeostasis.
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| 183. |
- Risérus, Ulf, et al.
(author)
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Dietary fats and prevention of type 2 diabetes
- 2009
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In: Progress in lipid research. - : Elsevier BV. - 0163-7827 .- 1873-2194. ; 48:1, s. 44-51
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Research review (peer-reviewed)abstract
- Although type 2 diabetes is determined primarily by lifestyle and genes, dietary composition may affect both its development and complications. Dietary fat is of particular interest because fatty acids influence glucose metabolism by altering cell membrane function, enzyme activity, insulin signaling, and gene expression. This paper focuses on the prevention of type 2 diabetes and summarizes the epidemiologic literature on associations between types of dietary fat and diabetes risk. It also summarizes controlled feeding studies on the effects of dietary fats on metabolic mediators, such as insulin resistance. Taken together, the evidence suggests that replacing saturated fats and trans fatty acids with unsaturated (polyunsaturated and/or monounsaturated) fats has beneficial effects on insulin sensitivity and is likely to reduce risk of type 2 diabetes. Among polyunsaturated fats, linoleic acid from the n-6 series improves insulin sensitivity. On the other hand, long-chain n-3 fatty acids do not appear to improve insulin sensitivity or glucose metabolism. In dietary practice, foods rich in vegetable oils, including non-hydrogenated margarines, nuts, and seeds, should replace foods rich in saturated fats from meats and fat-rich dairy products. Consumption of partially hydrogenated fats should be minimized. Additional controlled, long-term studies are needed to improve our knowledge on the optimal proportion of different types of fats to prevent diabetes.
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| 184. |
- Salanti, Georgia, et al.
(author)
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Underlying Genetic Models of Inheritance in Established Type 2 Diabetes Associations
- 2009
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In: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 170:5, s. 537-545
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Research review (peer-reviewed)abstract
- For most associations of common single nucleotide polymorphisms (SNPs) with common diseases, the genetic model of inheritance is unknown. The authors extended and applied a Bayesian meta-analysis approach to data from 19 studies on 17 replicated associations with type 2 diabetes. For 13 SNPs, the data fitted very well to an additive model of inheritance for the diabetes risk allele; for 4 SNPs, the data were consistent with either an additive model or a dominant model; and for 2 SNPs, the data were consistent with an additive or recessive model. Results were robust to the use of different priors and after exclusion of data for which index SNPs had been examined indirectly through proxy markers. The Bayesian meta-analysis model yielded point estimates for the genetic effects that were very similar to those previously reported based on fixed- or random-effects models, but uncertainty about several of the effects was substantially larger. The authors also examined the extent of between-study heterogeneity in the genetic model and found generally small between-study deviation values for the genetic model parameter. Heterosis could not be excluded for 4 SNPs. Information on the genetic model of robustly replicated association signals derived from genome-wide association studies may be useful for predictive modeling and for designing biologic and functional experiments.
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| 185. |
- Seshasai, Sreenivasa Rao Kondapally, et al.
(author)
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Diabetes mellitus, fasting glucose, and risk of cause-specific death.
- 2011
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In: The New England journal of medicine. - 1533-4406 .- 0028-4793. ; 364:9, s. 829-41
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Journal article (peer-reviewed)abstract
- The extent to which diabetes mellitus or hyperglycemia is related to risk of death from cancer or other nonvascular conditions is uncertain.
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| 186. |
- Sun, Qi, et al.
(author)
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Healthy Lifestyle and Leukocyte Telomere Length in US Women
- 2012
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In: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 7:5
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Journal article (peer-reviewed)abstract
- Context: Whether a healthy lifestyle may be associated with longer telomere length is largely unknown. Objectives: To examine healthy lifestyle practices, which are primary prevention measures against major age-related chronic diseases, in relation to leukocyte telomere length. Design and Setting: Cross-sectional analysis in the Nurses' Health Study (NHS). Participants: The population consisted of 5,862 women who participated in multiple prospective case-control studies within the NHS cohort. Z scores of leukocyte telomere length were derived within each case-control study. Based on prior work, we defined low-risk or healthy categories for five major modifiable factors assessed in 1988 or 1990: non-current smoking, maintaining a healthy body weight (body mass index in 18.5-24.9 kg/m(2)), engaging in regular moderate or vigorous physical activities (>= 150 minutes/week), drinking alcohol in moderation (1 drink/week to,2 drinks/day), and eating a healthy diet (Alternate Healthy Eating Index score in top 50%). We calculated difference (%) of the z scores contrasting low-risk groups with reference groups to evaluate the association of interest. Results: Although none of the individual low-risk factors was significantly associated with larger leukocyte telomere length z scores, we observed a significant, positive relationship between the number of low-risk factors and the z scores. In comparison with women who had zero low-risk factors (1.9% of the total population) and were, therefore, considered the least healthy group, the leukocyte telomere length z scores were 16.4%, 22.1%, 28.7%, 22.6%, and 31.2% (P for trend = 0.015) higher for women who had 1 to 5 low-risk factors, respectively. Conclusions: Adherence to a healthy lifestyle, defined by major modifiable risk factors, was associated with longer telomere length in leukocytes.
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| 187. |
- Timpka, Simon, et al.
(author)
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Postpregnancy BMI in the Progression From Hypertensive Disorders of Pregnancy to Type 2 Diabetes
- 2019
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In: Diabetes Care. - : American Diabetes Association. - 1935-5548 .- 0149-5992. ; 42:1, s. 44-49
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Journal article (peer-reviewed)abstract
- OBJECTIVE: To study the extent to which BMI after pregnancy adds to the elevated risk of postpregnancy type 2 diabetes in women with a history of hypertensive disorders of pregnancy (HDP) (preeclampsia or gestational hypertension).RESEARCH DESIGN AND METHODS: We used data from the Nurses' Health Study II, a prospective cohort study. In women aged 45-54 years without prior gestational diabetes mellitus, we investigated the interaction between BMI and HDP history on the risk of type 2 diabetes. For clinical and public health relevance, we focused on additive interaction. The main outcome measure was the relative excess risk due to interaction calculated from multivariable Cox proportional hazards models using normal weight as the reference group.RESULTS: In total, 6,563 (11.7%) of 56,159 participants had a history of HDP and 1,341 women developed type 2 diabetes during 436,333 person-years. BMI was a strong risk factor for type 2 diabetes regardless of HDP history. However, there was evidence of an additive interaction between BMI and HDP for the risk of type 2 diabetes (P = 0.004). The attributable proportion of risk due to the interaction ranged from 0.12 (95% CI -0.22, 0.46) in women who were overweight to 0.36 (95% CI 0.13, 0.59) in women with obesity class I.CONCLUSIONS: Maintaining a healthy weight may be of even greater importance in women with a history of HDP, compared with other women with a history of only normotensive pregnancies, to reduce midlife risk of type 2 diabetes.
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| 188. |
- V Varga, Tibor, et al.
(author)
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Smoking Status, Snus Use, and Variation at the CHRNA5-CHRNA3-CHRNB4 Locus in Relation to Obesity: The GLACIER Study
- 2013
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In: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 178:1, s. 31-37
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Journal article (peer-reviewed)abstract
- A genetic variant within the CHRNA5-CHRNA3-CHRNB4 region (rs1051730), previously associated with smoking quantity, was recently shown to interact with smoking on obesity predisposition. We attempted to replicate this finding in the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk (GLACIER) Study, a prospective cohort study of adults from northern Sweden (n = 16,426). We also investigated whether a similar interaction is apparent between rs1051730 and snus, a type of moist oral tobacco, to determine whether this interaction is driven by factors that cigarettes and snus have in common, such as nicotine. Main effects of smoking, snus, and the rs1051730 variant and pairwise interaction terms (smoking x rs1051730 and snus x rs1051730) were tested in relation to body mass index (BMI; calculated as weight (kg)/height (m)(2)) through the use of multivariate linear models adjusted for age and sex. Smoking status and BMI were inversely related (beta = -0.46 kg/m(2), standard error (SE) = 0.08; P < 0.0001). Snus use and BMI were positively related (beta = 0.35 kg/m(2), SE = 0.12; P = 0.003). The rs1051730 variant was not significantly associated with smoking status or snus use (P > 0.05); the T allele was associated with lower BMI in the overall cohort (beta = -0.10 kg/m(2), SE = 0.05; P = 0.03) and with smoking quantity in those in whom this was measured (n = 5,304) (beta = 0.08, SE = 0.01; P < 0.0001). Neither smoking status (P-interaction = 0.29) nor snus use (P-interaction = 0.89) modified the association between the rs1051730 variant and BMI.
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| 189. |
- van Zuydam, Natalie R., et al.
(author)
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Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus
- 2020
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In: Circulation. - : Lippincott Williams & Wilkins. - 2574-8300. ; 13:6, s. 640-648
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Journal article (peer-reviewed)abstract
- BACKGROUND: Coronary artery disease (CAD) is accelerated in subjects with type 2 diabetes mellitus (T2D).METHODS: To test whether this reflects differential genetic influences on CAD risk in subjects with T2D, we performed a systematic assessment of genetic overlap between CAD and T2D in 66 643 subjects (27 708 with CAD and 24 259 with T2D). Variants showing apparent association with CAD in stratified analyses or evidence of interaction were evaluated in a further 117 787 subjects (16 694 with CAD and 11 537 with T2D).RESULTS: None of the previously characterized CAD loci was found to have specific effects on CAD in T2D individuals, and a genome-wide interaction analysis found no new variants for CAD that could be considered T2D specific. When we considered the overall genetic correlations between CAD and its risk factors, we found no substantial differences in these relationships by T2D background.CONCLUSIONS: This study found no evidence that the genetic architecture of CAD differs in those with T2D compared with those without T2D.
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