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Sökning: WFRF:(Franks Paul W.)

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301.
  • Pervjakova, Natalia, et al. (författare)
  • Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes
  • 2022
  • Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 31:19, s. 3377-3391
  • Tidskriftsartikel (refereegranskat)abstract
    • Gestational diabetes mellitus (GDM) is associated with increased risk of pregnancy complications and adverse perinatal outcomes. GDM often reoccurs and is associated with increased risk of subsequent diagnosis of type 2 diabetes (T2D). To improve our understanding of the aetiological factors and molecular processes driving the occurrence of GDM, including the extent to which these overlap with T2D pathophysiology, the GENetics of Diabetes In Pregnancy (GenDIP) Consortium assembled genome-wide association studies (GWAS) of diverse ancestry in a total of 5485 women with GDM and 347 856 without GDM. Through multi-ancestry meta-analysis, we identified five loci with genome-wide significant association (p < 5x10-8) with GDM, mapping to/near MTNR1B (p = 4.3x10-54), TCF7L2 (p = 4.0x10-16), CDKAL1 (p = 1.6 × 10-14), CDKN2A-CDKN2B (p = 4.1x10-9) and HKDC1 (p = 2.9x10-8). Multiple lines of evidence pointed to the shared pathophysiology of GDM and T2D: (i) four of the five GDM loci (not HKDC1) have been previously reported at genome-wide significance for T2D; (ii) significant enrichment for associations with GDM at previously reported T2D loci; (iii) strong genetic correlation between GDM and T2D; and (iv) enrichment of GDM associations mapping to genomic annotations in diabetes-relevant tissues and transcription factor binding sites. Mendelian randomisation analyses demonstrated significant causal association (5% false discovery rate) of higher body mass index on increased GDM risk. Our results provide support for the hypothesis that GDM and T2D are part of the same underlying pathology but that, as exemplified by the HKDC1 locus, there are genetic determinants of GDM that are specific to glucose regulation in pregnancy.
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302.
  • Peters, Tricia, et al. (författare)
  • Validity of a short questionnaire to assess physical activity in 10 European countries
  • 2012
  • Ingår i: European Journal of Epidemiology. - Dordrecht : Springer Netherlands. - 0393-2990 .- 1573-7284. ; 27:1, s. 15-25
  • Tidskriftsartikel (refereegranskat)abstract
    • To accurately examine associations of physical activity (PA) with disease outcomes, a valid method of assessing free-living activity is required. We examined the validity of a brief PA questionnaire (PAQ) used in the European Prospective Investigation into Cancer and Nutrition (EPIC). PA energy expenditure (PAEE) and time spent in moderate and vigorous physical activity (MVPA) was measured in 1,941 healthy individuals from 10 European countries using individually-calibrated combined heart-rate and movement sensing. Participants also completed the short EPIC-PAQ, which refers to past year's activity. Pearson (r) and Spearman (sigma) correlation coefficients were calculated for each country, and random effects meta-analysis was used to calculate the combined correlation across countries to estimate the validity of two previously- and one newly-derived ordered, categorical PA indices ("Cambridge index", "total PA index", and "recreational index") that categorized individuals as inactive, moderately inactive, moderately active, or active. The strongest associations with PAEE and MVPA were observed for the Cambridge index (r = 0.33 and r = 0.25, respectively). No significant heterogeneity by country was observed for this index (I-2 = 36.3%, P = 0.12; I-2 = 0.0%, P = 0.85), whereas heterogeneity was suggested for other indices (I-2 > 48%, P < 0.05, I-2 > 47%, P < 0.05). PAEE increased linearly across self-reported PA categories (P for trend < 0.001), with an average difference of approximately 460 kJ/d for men and 365 kJ/d for women, between categories of the Cambridge index. The EPIC-PAQ is suitable for categorizing European men and women into four distinct categories of overall physical activity. The difference in PAEE between categories may be useful when estimating effect sizes from observational research.
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303.
  • Petri, Michelle, et al. (författare)
  • Comparison of the 2019 European Alliance of Associations for Rheumatology/American College of Rheumatology Systemic Lupus Erythematosus Classification Criteria With Two Sets of Earlier Systemic Lupus Erythematosus Classification Criteria
  • 2021
  • Ingår i: Arthritis Care and Research. - : Wiley. - 2151-464X .- 2151-4658. ; 73:9, s. 1231-1235
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective: The Systemic Lupus International Collaborating Clinics (SLICC) 2012 systemic lupus erythematosus (SLE) classification criteria and the revised American College of Rheumatology (ACR) 1997 criteria are list based, counting each SLE manifestation equally. We derived a classification rule based on giving variable weights to the SLICC criteria and compared its performance to the revised ACR 1997, the unweighted SLICC 2012, and the newly reported European Alliance of Associations for Rheumatology (EULAR)/ACR 2019 criteria sets. Methods: The physician-rated patient scenarios used to develop the SLICC 2012 classification criteria were reemployed to devise a new weighted classification rule using multiple linear regression. The performance of the rule was evaluated on an independent set of expert-diagnosed patient scenarios and compared to the performance of the previously reported classification rules. Results: The weighted SLICC criteria and the EULAR/ACR 2019 criteria had less sensitivity but better specificity compared to the list-based revised ACR 1997 and SLICC 2012 classification criteria. There were no statistically significant differences between any pair of rules with respect to overall agreement with the physician diagnosis. Conclusion: The 2 new weighted classification rules did not perform better than the existing list-based rules in terms of overall agreement on a data set originally generated to assess the SLICC criteria. Given the added complexity of summing weights, researchers may prefer the unweighted SLICC criteria. However, the performance of a classification rule will always depend on the populations from which the cases and non-cases are derived and whether the goal is to prioritize sensitivity or specificity.
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304.
  • Phelan, Suzanne, et al. (författare)
  • One-year postpartum anthropometric outcomes in mothers and children in the LIFE-Moms lifestyle intervention clinical trials
  • 2020
  • Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 0307-0565 .- 1476-5497. ; 44, s. 57-68
  • Tidskriftsartikel (refereegranskat)abstract
    • Background/objectives: Excess gestational weight gain (GWG) is a risk factor for maternal postpartum weight retention and excessive neonatal adiposity, especially in women with overweight or obesity. Whether lifestyle interventions to reduce excess GWG also reduce 12-month maternal postpartum weight retention and infant weight-for-length z score is unknown. Randomized controlled trials from the LIFE-Moms consortium investigated lifestyle interventions that began in pregnancy and tested whether there was benefit through 12 months on maternal postpartum weight retention (i.e., the difference in weight from early pregnancy to 12 months) and infant-weight-for-length z scores. Subjects/methods: In LIFE-Moms, women (N = 1150; 14.1 weeks gestation at enrollment) with overweight or obesity were randomized within each of seven trials to lifestyle intervention or standard care. Individual participant data were combined and analyzed using generalized linear mixed models with trial entered as a random effect. The 12-month assessment was completed by 83% (959/1150) of women and 84% (961/1150) of infants. Results: Compared with standard care, lifestyle intervention reduced postpartum weight retention (2.2 ± 7.0 vs. 0.7 ± 6.2 kg, respectively; difference of −1.6 kg (95% CI −2.5, −0.7; p = 0.0003); the intervention effect was mediated by reduction in excess GWG, which explained 22% of the effect on postpartum weight retention. Lifestyle intervention also significantly increased the odds (OR = 1.68 (95% CI, 1.26, 2.24)) and percentage of mothers (48.2% vs. 36.2%) at or below baseline weight at 12 months postpartum (yes/no) compared with standard care. There was no statistically significant treatment group effect on infant anthropometric outcomes at 12 months. Conclusions: Compared with standard care, lifestyle interventions initiated in pregnancy and focused on healthy eating, increased physical activity, and other behavioral strategies resulted in significantly less weight retention but similar infant anthropometric outcomes at 12 months postpartum in a large, diverse US population of women with overweight and obesity.
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305.
  • Pomares-Millan, Hugo, et al. (författare)
  • Estimating the Direct Effect between Dietary Macronutrients and Cardiometabolic Disease, Accounting for Mediation by Adiposity and Physical Activity
  • 2022
  • Ingår i: Nutrients. - : MDPI. - 2072-6643. ; 14:6
  • Tidskriftsartikel (refereegranskat)abstract
    • Assessing the causal effects of individual dietary macronutrients and cardiometabolic disease is challenging owing to the complexity to distinguish direct effects from those mediated or confounded by other factors. To estimate these effects, intake of protein, carbohydrate, sugar, fat, and its subtypes were obtained using food frequency data derived from a Swedish population-based cohort (n~60,000). Data on clinical outcomes (i.e., type 2 diabetes (T2D) and cardiovascular disease (CVD) incidence) were obtained by linking health registry data. We assessed the magnitude of direct and mediated effects of diet, adiposity and physical activity on T2D and CVD using structural equation modelling (SEM). To strengthen causal inference, we used Mendelian randomization (MR) to model macronutrient intake exposures against clinical outcomes. We identified likely causal effects of genetically predicted carbohydrate intake (including sugar intake) and T2D, independent of adiposity and physical activity. Pairwise, serial-and parallel-mediational configurations yielded similar results. In the integrative genomic analyses, the candidate causal variant localized to the established type 2 diabetes gene TCF7L2. These findings may be informative when considering which dietary modifications included in nutritional guidelines are most likely to elicit health-promoting effects.
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306.
  • Pomares-Millan, Hugo, et al. (författare)
  • Predicting sensitivity and resilience to modifiable risk factors for cardiometabolic morbidity and mortality
  • 2021
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Background Lifestyle exposures play a major role in the development of disease, yet people vary in their susceptibility. A critical step towards precision medicine is identifying individuals who are resilient or sensitive to the environment, and, assess whether the allocation to these predicted groups are more or less likely to develop cardiometabolic disease.Methods We have used repeated data from the VHU study (n=35440) to identify sensitive and resilient individuals using prediction intervals at the 5th and 95th quantile. Three exposure susceptibility groups were derived per cardiometabolic score using quantile regression forests in the training dataset; next, in the validation dataset, we assessed the different risks of the groups using Cox proportional hazard models for CVD and diabetes.Results The results of our study suggest that, after ∼10 y of follow-up, individuals with sensitivity to the environmental exposures associated with systolic and diastolic blood pressure, blood lipids, and glucose were at higher risk of developing cardiometabolic disease. Moreover, when hazards were pooled with the replication cohort, for those individuals sensitive to the exposures associated with blood pressure traits, the hazards remained significant.Conclusions Identifying individuals who are predicted to be sensitive are at higher risk of developing disease, this population may be a clinical target for prevention or early intervention and public health strategies.
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307.
  • Pomares-Millan, Hugo, et al. (författare)
  • Predicting Sensitivity to Adverse Lifestyle Risk Factors for Cardiometabolic Morbidity and Mortality
  • 2022
  • Ingår i: Nutrients. - Basel : MDPI. - 2072-6643. ; 14:15
  • Tidskriftsartikel (refereegranskat)abstract
    • People appear to vary in their susceptibility to lifestyle risk factors for cardiometabolic disease; determining a priori who is most sensitive may help optimize the timing, design, and delivery of preventative interventions. We aimed to ascertain a person’s degree of resilience or sensitivity to adverse lifestyle exposures and determine whether these classifications help predict cardiometabolic disease later in life; we pooled data from two population-based Swedish prospective cohort studies (n = 53,507), and we contrasted an individual’s cardiometabolic biomarker profile with the profile predicted for them given their lifestyle exposure characteristics using a quantile random forest approach. People who were classed as ‘sensitive’ to hypertension- and dyslipidemia-related lifestyle exposures were at higher risk of developing cardiovascular disease (CVD, hazards ratio 1.6 (95% CI: 1.3, 1.91)), compared with the general population. No differences were observed for type 2 diabetes (T2D) risk. Here, we report a novel approach to identify individuals who are especially sensitive to adverse lifestyle exposures and who are at higher risk of subsequent cardiovascular events. Early preventive interventions may be needed in this subgroup.
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308.
  • Pomeroy, Jeremy, et al. (författare)
  • Gene-lifestyle interactions and their consequences on human health.
  • 2009
  • Ingår i: Genetics and Sports. - Basel : S. Karger. - 9783805590273 ; , s. 110-135
  • Bokkapitel (refereegranskat)abstract
    • Our genes are the conduit through which the environment communicates to the cells in our bodies. The responses to these signals include hormonal, metabolic and neurological changes to tissues and organs that manifest as phenotypes - measurable responses to gene transcription and translation. Thus, the health consequences of lifestyle behaviors such as physical activity, which can be broadly defined as 'environmental' exposures, are channeled through our genes. The extent to which these signals are conveyed depends in part on the structure and function of our genome. Hence, even when exposed to the same exercise regimes or doses of physical activity, responses vary markedly from one person to the next; some experience marked changes in disease phenotypes such as lipid and glucose concentrations, adiposity, or blood pressure levels, whilst others appear unresponsive. It is this process that underlies the concept that we will discuss in this chapter, a concept termed gene-lifestyle interaction. The aims of this chapter are (a) to convey to the reader the fundamental principles of gene-lifestyle interaction; (b) to describe the historical basis to this area of research; (c)to explain how understanding gene-lifestyle interactions might enhance our knowledge of the molecular mechanisms of disease; (d) to speculate on the ways in which information of gene-lifestyle interactions might eventually facilitate disease prevention, and (e) to overview the published literature which has focused on obesity as an outcome.
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309.
  • Pomeroy, Jeremy, et al. (författare)
  • Maternal physical activity and insulin action in pregnancy and their relationships with infant body composition
  • 2013
  • Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 36:2, s. 267-269
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE We sought to assess the association between maternal gestational physical activity and insulin action and body composition in early infancy.RESEARCH DESIGN AND METHODS At 28-32 weeks, gestation, pregnant women participating in an observational study in Sweden underwent assessments of height, weight, and body composition, an oral glucose tolerance test, and 10 days of objective physical activity assessment. Thirty mothers and infants returned at 11-19 weeks, postpartum. Infants underwent assessments of weight, length, and body composition.RESULTS Early insulin response was correlated with total physical activity (r = -0.47; P = 0.007). Early insulin response (r = -0.36; P = 0.045) and total physical activity (r = 0.52; P = 0.037) were also correlated with infant fat-free mass. No maternal variable was significantly correlated with infant adiposity.CONCLUSIONS The relationships between maternal physical activity, insulin response, and infant fat-free mass suggest that physical activity during pregnancy may affect metabolic outcomes in the mother and her offspring.
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310.
  • Pomeroy, Jeremy, et al. (författare)
  • Metabolic risk-factor profiles in infants in relation to those of their mothers during pregnancy
  • 2011
  • Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
    • Background Maternal characteristics during pregnancy such as BMI, weight gain, and glucose tolerance have been associated with anthropometric traits in their offspring. Here we extend these observations looking at the associations between maternal body composition, weight gain by trimester, and glucose tolerance and anthropometrics in their infants. Materials and methods Participants were 31 (16 female) singleton babies and their mothers (aged 25-35 yrs) in the eastern area of the county of Västerbotten in Sweden. Maternal weight was measured at gestational weeks 10-12, 28-32, and 37-41. Maternal body composition was assessed using isotope dilution and gestational glucose tolerance was assessed with a 2-hour, 75-gram oral glucose challenge at 28-32 weeks gestation. Infant body composition was assessed at 11-19 weeks of age using air- displacement plethysmography. The relationships between maternal and infant variables were assessed with Spearman correlations. Results Mid-pregnancy weight gain was significantly positively related to fat mass (r=0.41, p= 0.022) but not fat-free mass whereas late-pregnancy weight gain was significantly positively related to infant fat-free mass (r=0.37, p=0.04) but not fat mass. Maternal weight, body composition, or glucose tolerance was not significantly related to infant body composition. Early infancy growth (weight-for-length growth z-score) from 0 to 4 months was significantly related to infant percent fat (r=0.48, p=0.006). Gestational weight gain by trimester is differently related to body composition assessed in early infancy. Additionally, greater early infancy growth is associated with higher percent fat at 4 months of age. Both of these findings might identify targets for interventions conducted in pregnancy and during early life.
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