Assessing the use of sodium-glucose cotransporter 2 inhibitor in patients with type 2 diabetes mellitus and chronic kidney disease in tertiary care: a SwissDiab Study.

INTRODUCTION: The overall aim of this study was to evaluate the implementation of sodium-glucose cotransporter 2 inhibitors (SGLT2i) among patients in tertiary care with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD). RESEARCH DESIGN AND METHODS: The cross-sectional analysis was based on outpatients in tertiary diabetes care enrolled in the Swiss Diabetes Registry with T2DM and a study visit January 1, 2020-March 31, 2021. Prevalence of CKD was ascertained as an estimated glomerular filtration rate <60 mL/min/1.73 m2 and/or persistent albuminuria as defined by Kidney Disease Improving Global Outcomes, and the proportion of patients prescribed SGLT2i was determined. Documented reasons for non-treatment with SGLT2i were extracted by a retrospective review of the medical records. RESULTS: Of 368 patients with T2DM, 1.1% (n=4) were excluded due to missing data. Of the remaining 364 patients, 47.3% (n=172) had CKD of which 32.6% (n=56) were prescribed SGLT2i. The majority (75%) of these patients were on treatment already in 2018, before the renoprotective effects of SGLT2i were established. Among the 116 patients without SGLT2i, 19.0% had known contraindications, 9.5% stopped treatment due to adverse events, 5.2% had other reasons, and no underlying reason for non-treatment could be identified for 66.4%. CONCLUSIONS: A divergence between recommended standard of care and implementation in daily clinical practice was observed. Although treatment should always consider patient-specific circumstances, the results highlight the need to reinforce current treatment recommendations to ensure patients benefit from the best available care.

Screening for heart failure in patients with diabetes mellitus in tertiary care - A SwissDiab study.

AIMS: To evaluate the prevalence of heart failure (HF) in patients with diabetes in tertiary care, and the implementation of sodium-glucose co-transporter 2 inhibitor (SGLT2i). METHODS: Between 28.09.2020 and 31.03.2022, patients enrolled in the Swiss Diabetes Registry at one study centre were screened for HF based on the recommendations by the European Society of Cardiology. Indicated patients were referred for echocardiography and a clinical evaluation of HF, further stratified by preserved (HFpEF), mildly reduced (HFmrEF), and reduced (HFrEF) left ventricular ejection fraction. RESULTS: In total, 534 patients were screened (31.5%, type 1 diabetes (T1D); 59.7%, type 2 diabetes (T2D); 8.8%, other forms). Overall, HF was present in 11.2% (HFpEF, 56.7%; HFmrEF, 11.7%; HFrEF, 31.7%). Prevalence by diabetes type was 2.4%, T1D; 16.0%, T2D; and 10.6%, other forms. Of the identified cases, 40.0% were previously diagnosed and 60.0% were diagnosed as a result of the screening. Of the 24 patients with previously known HF, 50.0% were prescribed SGLT2i (including 2 out of 3 patients with HFrEF). CONCLUSIONS: The fact that most cases of HF were previously undiagnosed and treatment with SGLT2i could be improved highlights the need to increase awareness of HF among healthcare professionals treating patients with diabetes.

An estimation of the consequences of reinforcing the 2016 and 2019 European Society of Cardiology/European Atherosclerosis Society guidelines on current lipid-lowering treatment in patients with type 2 diabetes in tertiary care-a SwissDiab study.

AIMS: In 2019, the European Society of Cardiology/European Atherosclerosis Society updated the 2016 guidelines for the management of dyslipidaemias recommending more stringent low-density lipoprotein cholesterol (LDL-C) targets in diabetes mellitus type 2 (DM2). Based on a real-world patient population, this study aimed to determine the feasibility and cost of attaining guideline-recommended LDL-C targets, and assess cardiovascular benefit. METHODS AND RESULTS: The Swiss Diabetes Registry is a multicentre longitudinal observational study of outpatients in tertiary diabetes care. Patients with DM2 and a visit between 1 January 2018 and 31 August 2019 that failed the 2016 LDL-C target were identified. The theoretical intensification of current lipid-lowering medication needed to reach the 2016 and 2019 LDL-C target was determined and the cost thereof extrapolated. The expected number of major adverse cardiovascular events (MACE) prevented by treatment intensification was estimated. Two hundred and ninety-four patients (74.8%) failed the 2016 LDL-C target. The percentage of patients that theoretically achieved the 2016 and 2019 target with the indicated treatment modifications were high-intensity statin, 21.4% and 13.3%; ezetimibe, 46.6% and 27.9%; proprotein convertase subtilisin/kexin type 9 inhibitor (PCSK9i), 30.6% and 53.7%; ezetimibe and PCSK9i, 1.0% and 3.1%; whereas one (0.3%) and five patients (1.7%) failed to reach target, respectively. Achieving the 2016 vs. 2019 target would reduce the estimated 4-year MACE from 24.9 to 18.6 vs. 17.4 events, at an additional annual cost of medication of 2140 Swiss francs (CHF) vs. 3681 CHF per patient, respectively. CONCLUSIONS: For 68% of the patients, intensifying statin treatment and/or adding ezetimibe would be sufficient to reach the 2016 target, whereas 57% would require cost-intensive PCSK9i therapy to reach the 2019 target, with limited additional medium-term cardiovascular benefit.

Based on 294 patients with type 2 diabetes and elevated low-density lipoprotein (LDL) cholesterol, this study looked at how much patients' lipid-lowering medication would need to be intensified for them to be able to reach the old and the new, lower treatment target for LDL-cholesterol that was introduced in 2019, along with the cost and feasibility, and estimated cardiovascular benefits of doing so. The majority of patients would reach the old LDL-cholesterol target by optimizing therapy with statin and ezetimibe, with a clear expected cardiovascular benefit. It would however be difficult for the majority of patients to reach the new, lower LDL-cholesterol target, as this would require treatment with a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor. This expensive treatment would not be reimbursed for the majority of patients that would need them. The additional expected cardiovascular benefit was also less clear. Tools that help physicians to weigh the additional reduction in cardiovascular risk that the patient might benefit from by reaching the new rather than the old LDL-cholesterol target against known benefits of targeting other important risk factors (e.g. smoking, physical inactivity, overweight, and obesity) would help guide efficient cardiovascular risk management, and identify patients that would most benefit from PCSK9 inhibitor therapy.

Efficacy of the Glucagon-Like Peptide-1 Receptor Agonists Liraglutide and Semaglutide for the Treatment of Weight Regain After Bariatric surgery: a Retrospective Observational Study.

PURPOSE: Weight regain after bariatric surgery occurs in up to a third of patients and reduces treatment-associated health benefits. The efficacy of glucagon-like peptide-1 receptor agonists (GLP1-RA) for treatment of type 2 diabetes mellitus and obesity is well established, but their role in the treatment of weight regain after bariatric surgery remains to be defined. MATERIALS AND METHODS: This was a single centre retrospective observational study conducted at a Swiss bariatric reference centre. Patients with 6 months of treatment with GLP1-RA, up until November 2021, due to weight regain after bariatric surgery were identified. Data on body weight and relevant clinical parameters were collected before and after 6 months of treatment with GLP1-RA. Data are presented as median (interquartile range). RESULTS: Fifty patients (82% female) were included. Before GLP1-RA treatment (liraglutide, n=29; semaglutide, n=21), weight and BMI were 90.5 kg (83.4, 107.9) and 34.0 kg/m2 (31.7, 38.7), respectively, with a post-bariatric weight regain of 15.1% (10.6, 22.8) of total body weight and 4.6 kg/m2 (3.3, 6.2). After 6 months of GLP1-RA treatment, a reduction in weight and BMI of 8.8% (5.2, 11.4) of total body weight and 2.9 kg/m2 (1.8, 4.0) was observed (P value <0.0001), corresponding to 67.4% (40.4, 92.2) of the weight regain. No serious adverse events were reported. CONCLUSION: For patients experiencing weight regain after bariatric surgery, two-thirds of the weight regain can be safely lost with GLP1-RA, providing clinicians with a therapeutic option for this clinical challenge, and highlights the need for a large-scale randomized clinical trial.

Evaluation of type 2 diabetes care management in nine primary care practices before and after implementation of the Criteria of Good Disease Management of Diabetes established by the Swiss Society of Endocrinology and Diabetology.

AIMS OF THE STUDY: Little is known about the quality of diabetes management of patients with type 2 diabetes mellitus (T2DM) in Swiss primary care. Based on the recommendations of the National Council Quality Assurance Programme, an interprofessional working group of the Swiss Society of Endocrinology and Diabetology (SSED) established population-based national criteria for good disease management of T2DM in primary health care (the diabetes score). The objective of this study was to assess whether the implementation of these criteria improve diabetes management in primary care. METHODS: The diabetes score comprises eight criteria including three biometric measurements, two lifestyle-specific items and screening of three diabetes-associated complications. Practices can evaluate adherence to the criteria based on a point system, with the recommended aim to achieve ≥70/100 points. Group practices and single practices were included in this study and started implementing the SSED criteria in January 2018. The resulting score was compared with data retrospectively obtained for 2017. The primary endpoint was the overall change in Diabetes Score between 2017 and 2018 at each practice, further stratified by practice type. The absolute effect on individual diabetes score criteria was assessed by pooling all patient-level data. RESULTS: Nine practices (six single and three group) participated in the study. In 2017 and 2018, the primary care practices treated 727 and 704 patients with T2DM, respectively, of whom 676 were treated both years. Around half of the patients were cared for in group practices and half in single practices. Between 2017 and 2018 the median (interquartile range) diabetes score improved from 40 (35, 65) to 55 (45, 70; p = 0.078). One practice (single) obtained a score ≥70 in 2017, three practices (all single) achieved this target in 2018. Pooling patient-level data, we observed a significant absolute improvement in the following criteria: number of regular diabetes check ups, body mass index, glycated haemoglobin, blood pressure, low density lipoprotein cholesterol and screenings for diabetes-associated complications (all p <0.05). However, the extent of the improvements were often insufficient to reach the prefixed targets of the diabetes score criteria on the practice level. CONCLUSION: Overall, the implementation of the SSED criteria in the current setting led to a modest, nonsignificant improvement of the diabetes score. Only three (all single practices) out of the nine practices reached the recommended 70-point target, indicating that further strategies are needed to improve diabetes care in primary care practice. Trial registration: ClinicalTrials.gov (ID NCT04216875).

Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits.

The present study assessed the temporal associations of ~ 300 lifestyle exposures with nine cardiometabolic traits  to identify exposures/exposure groups that might inform lifestyle interventions for the reduction of cardiometabolic disease risk. The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed models were used to assess the average associations of lifestyle exposures and linear regression models were used to test associations with 10-year change in the cardiometabolic traits. 'Physical activity' and 'General Health' were the exposure categories containing the highest number of 'tentative signals' in analyses assessing the average association of lifestyle variables, while 'Tobacco use' was the top category for the 10-year change association analyses. Eleven modifiable variables showed a consistent average association among the majority of cardiometabolic traits. These variables belonged to the domains: (i) Smoking, (ii) Beverage (filtered coffee), (iii) physical activity, (iv) alcohol intake, and (v) specific variables related to Nordic lifestyle (hunting/fishing during leisure time and boiled coffee consumption). We used an agnostic, data-driven approach to assess a wide range of established and novel risk factors for cardiometabolic disease. Our findings highlight key variables, along with their respective effect estimates, that might be prioritised for subsequent prediction models and lifestyle interventions.

Representativeness of the Swiss Diabetes Registry - a single centre analysis.

OBJECTIVE: The Swiss Diabetes Registry (SwissDiab) is a multicentre, longitudinal, observational study of outpatients with diabetes receiving treatment at tertiary care centres. The aim of this study was to evaluate the representativeness of the participants at the study centre in the Division of Endocrinology and Diabetes at the Cantonal Hospital of St Gallen by comparing diabetes-related characteristics of participating and nonparticipating patients. METHODS: The study included 493 SwissDiab participants enrolled between 1 January 2010 and 31 December 2016 and 640 nonparticipating patients treated at the centre during the same time period. For participants and nonparticipating patients, demographic characteristics, clinical findings, blood chemistry and medication were retrieved from the SwissDiab baseline visit and the medical record ±6 months from the first available outpatient visit to the clinic for diabetes-related care within the study period. Nonparticipating patients were further divided into three subgroups: (i) excluded from SwissDiab, or having received (ii) ≥6 months or (iii) <6 months of prior diabetes treatment at the centre. Differences in diabetes-related clinical characteristics were determined using simple bivariate (nonparametric) statistical analyses stratified by diabetes mellitus type 1 and type 2. RESULTS: Compared with nonparticipants, participants smoked less (diabetes mellitus type 1: 24% vs 45%; diabetes mellitus type 2: 21% vs 29%), had higher educational attainment (diabetes mellitus type 1: 39% vs 21%; and diabetes mellitus type 2: 25% vs 18%) and lower glycated haemoglobin levels (diabetes mellitus type 1: 7.2% vs 7.8%; diabetes mellitus type 2: 7.2% vs 8.1%). In diabetes mellitus type 2, the proportion of females (30% vs 38%) and a migration background (36% vs 49%) were lower among participants. (All p-values <0.05.) In a stratified analysis SwissDiab participants had slightly better controlled diabetes than nonparticipating patients with ≥6 months of prior treatment, whereas the diabetes of patients recently referred to the clinic (with <6 months of prior treatment) and patients excluded from participation in SwissDiab were less well controlled. CONCLUSION: The observed differences in clinical characteristics between study participants and nonparticipating patients indicate that SwissDiab is likely to overestimate the state of diabetes care and management. The results highlight the need to improve recruitment of females and patients with a migration background in diabetes mellitus type 2.

Association of Established Blood Pressure Loci With 10-Year Change in Blood Pressure and Their Ability to Predict Incident Hypertension.

Background Genome-wide association studies have identified >1000 genetic variants cross-sectionally associated with blood pressure variation and prevalent hypertension. These discoveries might aid the early identification of subpopulations at risk of developing hypertension or provide targets for drug development, amongst other applications. The aim of the present study was to analyze the association of blood pressure-associated variants with long-term changes (10 years) in blood pressure and also to assess their ability to predict hypertension incidence compared with traditional risk variables in a Swedish population. Methods and Results We constructed 6 genetic risk scores (GRSs) by summing the dosage of the effect allele at each locus of genetic variants previously associated with blood pressure traits (systolic blood pressure GRS (GRSSBP): 554 variants; diastolic blood pressure GRS (GRSDBP): 481 variants; mean arterial pressure GRS (GRSMAP): 20 variants; pulse pressure GRS (GRSPP): 478 variants; hypertension GRS (GRSHTN): 22 variants; combined GRS (GRScomb): 1152 variants). Each GRS was longitudinally associated with its corresponding blood pressure trait, with estimated effects per GRS SD unit of 0.50 to 1.21 mm Hg for quantitative traits and odds ratios (ORs) of 1.10 to 1.35 for hypertension incidence traits. The GRScomb was also significantly associated with hypertension incidence defined according to European guidelines (OR, 1.22 per SD; 95% CI, 1.10‒1.35) but not US guidelines (OR, 1.11 per SD; 95% CI, 0.99‒1.25) while controlling for traditional risk factors. The addition of GRScomb to a model containing traditional risk factors only marginally improved discrimination (Δarea under the ROC curve = 0.001-0.002). Conclusions GRSs based on discovered blood pressure-associated variants are associated with long-term changes in blood pressure traits and hypertension incidence, but the inclusion of genetic factors in a model composed of conventional hypertension risk factors did not yield a material increase in predictive ability.

The combined effects of FADS gene variation and dietary fats in obesity-related traits in a population from the far north of Sweden: the GLACIER Study.

BACKGROUND: Recent analyses in Greenlandic Inuit identified six genetic polymorphisms (rs74771917, rs3168072, rs12577276, rs7115739, rs174602 and rs174570) in the fatty acid desaturase gene cluster (FADS1-FADS2-FADS3) that are associated with multiple metabolic and anthropometric traits. Our objectives were to systematically assess whether dietary polyunsaturated fatty acid (PUFA) intake modifies the associations between genetic variants in the FADS gene cluster and cardiometabolic traits, and to functionally annotate top-ranking candidates to estimate their regulatory potential. METHODS: Data analyses consisted of the following: interaction analyses between the 6 candidate genetic variants and dietary PUFA intake; gene-centric joint analyses to detect interaction signals in the FADS region; haplotype-centric joint tests across 30 haplotype blocks in the FADS region to refine interaction signals; and functional annotation of top-ranking loci from the previous steps. These analyses were undertaken in Swedish adults from the GLACIER Study (N = 5,160); data on genetic variation and eight cardiometabolic traits were used. RESULTS: Interactions were observed between rs174570 and n-6 PUFA intake on fasting glucose (Pint = 0.005) and between rs174602 and n-3 PUFA intake on total cholesterol (Pint = 0.001). Gene-centric analyses demonstrated a statistically significant interaction effect for FADS and n-3 PUFA on triglycerides (Pint = 0.005) considering genetic main effects as random. Haplotype analyses revealed three blocks (Pint < 0.011) that could drive the interaction between FADS and n-3 PUFA on triglycerides; functional annotation of these regions showed that each block harbours a number of highly functional regulatory variants; FADS2 rs5792235 demonstrated the highest functionality score. CONCLUSIONS: The association between FADS variants and triglycerides may be modified by PUFA intake. The intronic FADS2 rs5792235 variant is a potential causal variant in the region, having the highest regulatory potential. However, our results suggest that multiple haplotypes may harbour functional variants in a region, rather than a single causal variant.

Potato consumption and risk of pancreatic cancer in the HELGA cohort.

Potatoes have been a staple food in many countries throughout the years. Potatoes have a high glycaemic index (GI) score, and high GI has been associated with several chronic diseases and cancers. Still, the research on potatoes and health is scarce and contradictive, and we identified no prospective studies that had investigated the association between potatoes as a single food and the risk of pancreatic cancer. The aim of this study was to prospectively investigate the association between potato consumption and pancreatic cancer among 114 240 men and women in the prospective HELGA cohort, using Cox proportional hazard models. Information on diet (validated FFQ's), lifestyle and health was collected by means of a questionnaire, and 221 pancreatic cancer cases were identified through cancer registries. The mean follow-up time was 11·4 (95 % CI 0·3, 16·9) years. High consumption of potatoes showed a non-significantly higher risk of pancreatic cancer in the adjusted model (hazard ratio (HR) 1·44; 95 % CI 0·93, 2·22, P for trend 0·030) when comparing the highest v. the lowest quartile of potato consumption. In the sex-specific analyses, significant associations were found for females (HR 2·00; 95 % CI 1·07, 3·72, P for trend 0·020), but not for males (HR 1·01; 95 % CI 0·56, 1·84, P for trend 0·34). In addition, we explored the associations by spline regression, and the absence of dose-response effects was confirmed. In this study, high potato consumption was not consistently associated with a higher risk of pancreatic cancer. Further studies with larger populations are needed to explore the possible sex difference.

Compliance with guidelines for disease management in diabetes: results from the SwissDiab Registry.

OBJECTIVE: Tight glycemic control and aggressive treatment of additional cardiovascular risk factors can substantially reduce risk of diabetes-related complications. In 2013, the Swiss Society of Endocrinology and Diabetology (SSED) established national criteria on good disease management in diabetes, but little is known about compliance in clinical care. Here we assessed to what extent patients from two tertiary care centers in the German-speaking part of Switzerland enrolled in the Swiss Diabetes (SwissDiab) Registry adhere to the SSED criteria. RESEARCH DESIGN AND METHODS: SwissDiab is a prospective observational cohort study of patients regularly treated at Swiss tertiary diabetes centers. Data were collected through standardized annual health examinations. Baseline participant descriptive statistics, stratified by diabetes mellitus type 1 (DM1) and type 2 (DM2), were compared with SSED targets for glycemic control, blood pressure, blood lipids, weight maintenance, and ophthalmic examination. RESULTS: By the end of 2016, 604 participants with DM1 (40%) and DM2 (60%) had data available for analyses, 36% and 29% women, respectively. At baseline, all the SSED targets were met with two exceptions: a glycated hemoglobin A1c value <7% was measured in 32% of participants with DM1 (SSED target: ≥40%) and 47% and 56% of overweight or obese participants with DM1 and DM2, respectively, received nutritional counseling in the previous year (SSED target: ≥80%). CONCLUSIONS: The SSED targets for good disease management in diabetes were achieved in the majority of participants at the time of enrollment, but results also highlight areas where disease management can be improved, particularly the role of nutrition counseling.

Circulating concentrations of vitamin D in relation to pancreatic cancer risk in European populations.

Evidence from in vivo, in vitro and ecological studies are suggestive of a protective effect of vitamin D against pancreatic cancer (PC). However, this has not been confirmed by analytical epidemiological studies. We aimed to examine the association between pre-diagnostic circulating vitamin D concentrations and PC incidence in European populations. We conducted a pooled nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) and the Nord-Trøndelag Health Study's second survey (HUNT2) cohorts. In total, 738 primary incident PC cases (EPIC n = 626; HUNT2 n = 112; median follow-up = 6.9 years) were matched to 738 controls. Vitamin D [25(OH)D2 and 25(OH)D3 combined] concentrations were determined using isotope-dilution liquid chromatography-tandem mass spectrometry. Conditional logistic regression models with adjustments for body mass index and smoking habits were used to estimate incidence rate ratios (IRRs) and 95% confidence intervals (95%CI). Compared with a reference category of >50 to 75 nmol/L vitamin D, the IRRs (95% CIs) were 0.71 (0.42-1.20); 0.94 (0.72-1.22); 1.12 (0.82-1.53) and 1.26 (0.79-2.01) for clinically pre-defined categories of ≤25; >25 to 50; >75 to 100; and >100 nmol/L vitamin D, respectively (p for trend = 0.09). Corresponding analyses by quintiles of season-standardized vitamin D concentrations also did not reveal associations with PC risk (p for trend = 0.23). Although these findings among participants from the largest combination of European cohort studies to date show increasing effect estimates of PC risk with increasing pre-diagnostic concentrations of vitamin D, they are not statistically significant.

Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

[This corrects the article DOI: 10.1371/journal.pgen.1006528.].

Nonfermented milk and other dairy products: associations with all-cause mortality.

Background: A positive association between nonfermented milk intake and increased all-cause mortality was recently reported, but overall, the association between dairy intake and mortality is inconclusive.Objective: We studied associations between intake of dairy products and all-cause mortality with an emphasis on nonfermented milk and fat content.Design: A total of 103,256 adult participants (women: 51.0%) from Northern Sweden were included (7121 deaths; mean follow-up: 13.7 y). Associations between all-cause mortality and reported intakes of nonfermented milk (total or by fat content), fermented milk, cheese, and butter were tested with the use of Cox proportional hazards models that were adjusted for age, sex, body mass index, smoking status, education, energy intake, examination year, and physical activity. To circumvent confounding, Mendelian randomization was applied in a subsample via the lactase LCT-13910 C/T single nucleotide polymorphism that is associated with lactose tolerance and milk intake.Results: High consumers of nonfermented milk (≥2.5 times/d) had a 32% increased hazard (HR: 1.32; 95% CI: 1.18, 1.48) for all-cause mortality compared with that of subjects who consumed milk ≤1 time/wk. The corresponding value for butter was 11% (HR: 1.11; 95% CI: 1.07, 1.21). All nonfermented milk-fat types were independently associated with increased HRs, but compared with full-fat milk, HRs were lower in consumers of medium- and low-fat milk. Fermented milk intake (HR: 0.90; 95% CI: 0.86, 0.94) and cheese intake (HR: 0.93; 95% CI: 0.91, 0.96) were negatively associated with mortality. Results were slightly attenuated by lifestyle adjustments but were robust in sensitivity analyses. Mortality was not significantly associated with the LCT-13910 C/T genotype in the smaller subsample. The amount and type of milk intake was associated with lifestyle variables.Conclusions: In the present Swedish cohort study, intakes of nonfermented milk and butter are associated with higher all-cause mortality, and fermented milk and cheese intakes are associated with lower all-cause mortality. Residual confounding by lifestyle cannot be excluded, and Mendelian randomization needs to be examined in a larger sample.

Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.

Few genome-wide association studies (GWAS) account for environmental exposures, like smoking, potentially impacting the overall trait variance when investigating the genetic contribution to obesity-related traits. Here, we use GWAS data from 51,080 current smokers and 190,178 nonsmokers (87% European descent) to identify loci influencing BMI and central adiposity, measured as waist circumference and waist-to-hip ratio both adjusted for BMI. We identify 23 novel genetic loci, and 9 loci with convincing evidence of gene-smoking interaction (GxSMK) on obesity-related traits. We show consistent direction of effect for all identified loci and significance for 18 novel and for 5 interaction loci in an independent study sample. These loci highlight novel biological functions, including response to oxidative stress, addictive behaviour, and regulatory functions emphasizing the importance of accounting for environment in genetic analyses. Our results suggest that tobacco smoking may alter the genetic susceptibility to overall adiposity and body fat distribution.

Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Longitudinal 10-year changes in dietary intake and associations with cardio-metabolic risk factors in the Northern Sweden Health and Disease Study.

BACKGROUND: Dietary risks today constitute the largest proportion of disability-adjusted life years (DALYs) globally and in Sweden. An increasing number of people today consume highly processed foods high in saturated fat, refined sugar and salt and low in dietary fiber, vitamins and minerals. It is important that dietary trends over time are monitored to predict changes in disease risk. METHODS: In total, 15,995 individuals with two visits 10 (±1) years apart in the population-based Västerbotten Intervention Programme 1996-2014 were included. Dietary intake was captured with a 64-item food frequency questionnaire. Percent changes in intake of dietary components, Healthy Diet Score and Dietary Inflammatory Index were calculated and related to body mass index (BMI), serum cholesterol and triglyceride levels and blood pressure at the second visit in multivariable regression analyses. RESULTS: For both sexes, on group level, proportion of energy intake (E%) from carbohydrates and sucrose decreased (largest carbohydrate decrease among 40 year-olds) and E% protein and total fat as well as saturated and poly-unsaturated fatty acids (PUFA) increased (highest protein increase among 30 year-olds and highest fat increase among 60 year-olds) over the 10-year period. Also, E% trans-fatty acids decreased. On individual basis, for both sexes decreases in intake of cholesterol and trans-fatty acids were associated with lower BMI and serum cholesterol at second visit (all P < 0.05). For men, increases in intake of whole grain and Healthy Diet Score were associated with lower BMI and serum cholesterol at second visit (all P < 0.05). Also for men, decreases in intake of trans-fatty acids and increases in Healthy Diet Score were associated with lower systolic blood pressure at second visit (P = 0.002 and P < 0.000). For women, increases in intake of PUFA and Healthy Diet Score were associated with lower BMI at second visit (P = 0.01 and P < 0.05). Surprisingly, increases in intake of sucrose among women were associated with lower BMI at second visit (P = 0.02). CONCLUSIONS: In this large population-based sample, dietary changes over 10 years towards less carbohydrates and more protein and fat were noted. Individual changes towards the Nordic dietary recommendations were associated with healthier cardio-metabolic risk factor profile at second visit.

The heritable basis of gene-environment interactions in cardiometabolic traits.

AIMS/HYPOTHESIS: Little is known about the heritable basis of gene-environment interactions in humans. We therefore screened multiple cardiometabolic traits to assess the probability that they are influenced by genotype-environment interactions. METHODS: Fourteen established environmental risk exposures and 11 cardiometabolic traits were analysed in the VIKING study, a cohort of 16,430 Swedish adults from 1682 extended pedigrees with available detailed genealogical, phenotypic and demographic information, using a maximum likelihood variance decomposition method in Sequential Oligogenic Linkage Analysis Routines software. RESULTS: All cardiometabolic traits had statistically significant heritability estimates, with narrow-sense heritabilities (h 2) ranging from 24% to 47%. Genotype-environment interactions were detected for age and sex (for the majority of traits), physical activity (for triacylglycerols, 2 h glucose and diastolic BP), smoking (for weight), alcohol intake (for weight, BMI and 2 h glucose) and diet pattern (for weight, BMI, glycaemic traits and systolic BP). Genotype-age interactions for weight and systolic BP, genotype-sex interactions for BMI and triacylglycerols and genotype-alcohol intake interactions for weight remained significant after multiple test correction. CONCLUSIONS/INTERPRETATION: Age, sex and alcohol intake are likely to be major modifiers of genetic effects for a range of cardiometabolic traits. This information may prove valuable for studies that seek to identify specific loci that modify the effects of lifestyle in cardiometabolic disease.

Novel genetic loci associated with long-term deterioration in blood lipid concentrations and coronary artery disease in European adults.

Background: Cross-sectional genome-wide association studies have identified hundreds of loci associated with blood lipids and related cardiovascular traits, but few genetic association studies have focused on long-term changes in blood lipids. Methods: Participants from the GLACIER Study (Nmax = 3492) were genotyped with the MetaboChip array, from which 29 387 SNPs (single nucleotide polymorphisms; replication, fine-mapping regions and wildcard SNPs for lipid traits) were extracted for association tests with 10-year change in total cholesterol (ΔTC) and triglycerides (ΔTG). Four additional prospective cohort studies (MDC, PIVUS, ULSAM, MRC Ely; Nmax = 8263 participants) were used for replication. We conducted an in silico look-up for association with coronary artery disease (CAD) in the Coronary ARtery DIsease Genome-wide Replication and Meta-analysis (CARDIoGRAMplusC4D) Consortium (N ∼ 190 000) and functional annotation for the top ranking variants. Results: In total, 956 variants were associated (P < 0.01) with either ΔTC or ΔTG in GLACIER. In GLACIER, chr19:50121999 at APOE was associated with ΔTG and multiple SNPs in the APOA1/A4/C3/A5 region at genome-wide significance (P < 5 × 10-8), whereas variants in four loci, DOCK7, BRE, SYNE1 and KCNIP1, reached study-wide significance (P < 1.7 × 10-6). The rs7412 variant at APOE was associated with ΔTC in GLACIER (P < 1.7 × 10-6). In pooled analyses of all cohorts, 139 SNPs at six and five loci were associated with ΔTC and for ΔTG, respectively (P < 10-3). Of these, a variant at CAPN3 (P = 1.2 × 10-4), multiple variants at HPR (Pmin = 1.5 × 10-6) and a variant at SIX5 (P = 1.9 × 10-4) showed evidence for association with CAD. Conclusions: We identified seven novel genomic regions associated with long-term changes in blood lipids, of which three also raise CAD risk.