Literature DB >> 19037217

Epidemiological study designs to investigate gene-behavior interactions in the context of human obesity.

Nicholas J Wareham1, Elizabeth H Young, Ruth J F Loos.   

Abstract

The epidemiology of obesity suggests that, for the majority of individuals, the disorder arises from an interaction between genetic predisposition and lifestyle behaviors such as dietary intake and physical activity. Unravelling the molecular basis of such interactions is complex but is becoming a realistic proposition as evidence emerges from whole genome association studies of genetic variants that are definitively associated with obesity. A range of possible study designs is available for investigating gene-lifestyle interaction, and the strengths and weaknesses of each approach are discussed in this article. Given the likely small main effect of common genetic variants and the difficulties in demonstrating associations of lifestyle factors with future risk of obesity, we would favor an analytical approach based on the clear specification of prior probabilities to reduce the likelihood of false discovery. Mixed approaches combining data from large-scale observational studies with smaller intervention trials may be ideal. In designing new studies to investigate these issues, a key choice is how precisely to quantify the important, but difficult to measure lifestyle behaviors. It is clear from power calculations that an approach based on enhancing precision of measurement of diet and physical activity is critical.

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Year:  2008        PMID: 19037217      PMCID: PMC2703295          DOI: 10.1038/oby.2008.521

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  36 in total

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6.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes.

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7.  Physical activity energy expenditure predicts changes in body composition in middle-aged healthy whites: effect modification by age.

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Review 8.  The human obesity gene map: the 2005 update.

Authors:  Tuomo Rankinen; Aamir Zuberi; Yvon C Chagnon; S John Weisnagel; George Argyropoulos; Brandon Walts; Louis Pérusse; Claude Bouchard
Journal:  Obesity (Silver Spring)       Date:  2006-04       Impact factor: 5.002

9.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin.

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10.  The use of heart rate monitoring in the estimation of energy expenditure: a validation study using indirect whole-body calorimetry.

Authors:  S M Ceesay; A M Prentice; K C Day; P R Murgatroyd; G R Goldberg; W Scott; G B Spurr
Journal:  Br J Nutr       Date:  1989-03       Impact factor: 3.718

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  10 in total

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Journal:  Am J Public Health       Date:  2013-08-08       Impact factor: 9.308

2.  Type 2 diabetes: unravelling the interaction between genetic predisposition and lifestyle.

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Journal:  Diabetologia       Date:  2011-06-28       Impact factor: 10.122

Review 3.  Population neuroscience: why and how.

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4.  New directions in childhood obesity research: how a comprehensive biorepository will allow better prediction of outcomes.

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5.  Gene-nutrition and gene-physical activity interactions in the etiology of obesity. Introduction.

Authors:  Tanya Agurs-Collins; Claude Bouchard
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

6.  Increased physical activity cosegregates with higher intake of carbohydrate and total calories in a subcongenic mouse strain.

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Journal:  Mamm Genome       Date:  2009-12-24       Impact factor: 2.957

7.  Beyond the fourth wave of genome-wide obesity association studies.

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8.  Primary weight maintenance: an observational study exploring candidate variables for intervention.

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Review 9.  Gene-Lifestyle Interactions in Obesity.

Authors:  Jana V van Vliet-Ostaptchouk; Harold Snieder; Vasiliki Lagou
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Review 10.  Leptin-A Potential Bridge between Fat Metabolism and the Brain's Vulnerability to Neuropsychiatric Disorders: A Systematic Review.

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  10 in total

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