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    Li, Kelei Huang, Tao and Li, Duo 2015. Gene–Diet Interaction on Body Weight Maintenance. Current Nutrition Reports, Vol. 4, Issue. 3, p. 209.


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    Goumidi, Louisa Cottel, Dominique Dallongeville, Jean Amouyel, Philippe and Meirhaeghe, Aline 2014. Effects of established BMI-associated loci on obesity-related traits in a French representative population sample. BMC Genetics, Vol. 15, Issue. 1, p. 62.


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Genetic predisposition to obesity and lifestyle factors – the combined analyses of twenty-six known BMI- and fourteen known waist:hip ratio (WHR)-associated variants in the Finnish Diabetes Prevention Study

  • Tiina Jääskeläinen (a1), Jussi Paananen (a1), Jaana Lindström (a2), Johan G. Eriksson (a2) (a3) (a4) (a5) (a6), Jaakko Tuomilehto (a2) (a7) (a8) and Matti Uusitupa (a1) (a9)
  • DOI: http://dx.doi.org/10.1017/S0007114513001116
  • Published online: 14 May 2013
Abstract

Recent genome-wide association studies have identified multiple loci associated with BMI or the waist:hip ratio (WHR). However, evidence on gene–lifestyle interactions is still scarce, and investigation of the effects of well-documented dietary and other lifestyle data is warranted to assess whether genetic risk can be modified by lifestyle. We assessed whether previously established BMI and WHR genetic variants associate with obesity and weight change in the Finnish Diabetes Prevention Study, and whether the associations are modified by dietary factors or physical activity. Individuals (n 459) completed a 3 d food record and were genotyped for twenty-six BMI- and fourteen WHR-related variants. The effects of the variants individually and in combination were investigated in relation to obesity and to 1- and 3-year weight change by calculating genetic risk scores (GRS). The GRS were separately calculated for BMI and the WHR by summing the increasing alleles weighted by their published effect sizes. At baseline, the GRS were not associated with total intakes of energy, macronutrients or fibre. The mean 1- and 3-year weight changes were not affected by the BMI or WHR GRS. During the 3-year follow-up, a trend for higher BMI by the GRS was detected especially in those who reported a diet low in fibre (P for interaction = 0·065). Based on the present findings, it appears unlikely that obesity-predisposing variants substantially modify the effect of lifestyle modification on the success of weight reduction in the long term. In addition, these findings suggest that the association between the BMI-related genetic variants and obesity could be modulated by the diet.

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Corresponding author
*Corresponding author: T. Jääskeläinen, fax +358 17 163 2792, email tiina.j.jaaskelainen@uef.fi
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1AI Blakemore & P Froguel (2008) Is obesity our genetic legacy? J Clin Endocrinol Metab 93, S51S56.

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11J Tuomilehto , J Lindström , JG Eriksson , et al. (2001) Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N Engl J Med 344, 13431350.

14J Lindström , M Peltonen , JG Eriksson , et al. (2006) High-fibre, low-fat diet predicts long-term weight loss and decreased type 2 diabetes risk: the Finnish Diabetes Prevention Study. Diabetologia 49, 912920.

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17BF Voight , HM Kang , J Ding , et al. (2012) The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits. PLoS Genet 8, e1002793.

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32LM Delahanty , Q Pan , KA Jablonski , et al. (2012) Genetic predictors of weight loss and weight regain after intensive lifestyle modification, metformin treatment, or standard care in the Diabetes Prevention Program. Diabetes Care 35, 363366.

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British Journal of Nutrition
  • ISSN: 0007-1145
  • EISSN: 1475-2662
  • URL: /core/journals/british-journal-of-nutrition
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