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Träfflista för sökning "WFRF:(Nettleton Jennifer A) srt2:(2010)"

Sökning: WFRF:(Nettleton Jennifer A) > (2010)

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  • Nettleton, Jennifer A., et al. (författare)
  • Interactions of Dietary Whole-Grain Intake With Fasting Glucose- and Insulin-Related Genetic Loci in Individuals of European Descent A meta-analysis of 14 cohort studies
  • 2010
  • Ingår i: Diabetes Care. - 1935-5548. ; 33:12, s. 2684-2691
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVE - Whole-grain foods are touted for multiple health benefits including enhancing insulin sensitivity and reducing type 2 diabetes risk Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin RESEARCH DESIGN AND METHODS - Via meta-analysis of data from 14 cohorts comprising similar to 48 000 participants of European descent we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations For tests of interaction we considered a P value <0 0028 (0 05 of 18 tests) as statistically significant RESULTS - Greater whole grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics other dietary and lifestyle factors, and BMI (beta [95% Cl] per 1-serving greater whole grain intake -0 009 mmol/l glucose [-0 013 to -0 0051 P < 0 0001 and -0011 pmol/l [In] insulin [-0 015 to -0 0071 P = 0 0003) No interactions met our multiple testing adjusted statistical significance threshold The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0 006) where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin raising allele
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  • Franks, Paul W, et al. (författare)
  • Invited commentary : gene X lifestyle interactions and complex disease traits-inferring cause and effect from observational data, sine qua non
  • 2010
  • Ingår i: American Journal of Epidemiology. - : Oxford University Press (OUP). - 0002-9262 .- 1476-6256. ; 172:9, s. 992-997
  • Tidskriftsartikel (refereegranskat)abstract
    • Observational epidemiology has made outstanding contributions to the discovery and elucidation of relations between lifestyle factors and common complex diseases such as type 2 diabetes. Recent major advances in the understanding of the human genetics of this disease have inspired studies that seek to determine whether the risk conveyed by bona fide risk loci might be modified by lifestyle factors such as diet composition and physical activity levels. A major challenge is to determine which of the reported findings are likely to represent causal interactions and which might be explained by other factors. The authors of this commentary use the Bradford-Hill criteria, a set of tried-and-tested guidelines for causal inference, to evaluate the findings of a recent study on interaction between variation at the cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) locus and total energy intake with respect to prevalent metabolic syndrome and hemoglobin A₁(c) levels in a cohort of 313 Japanese men. The current authors conclude that the study, while useful for hypothesis generation, does not provide overwhelming evidence of causal interactions. They overview ways in which future studies of gene × lifestyle interactions might overcome the limitations that motivated this conclusion.
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