FTO genotype and weight loss in diet and lifestyle interventions: a systematic review and meta-analysis
Lingwei Xiang,Hongyu Wu,An Pan,Bhakti Patel,Guangda Xiang,Lu Qi,Robert C. Kaplan,Frank B. Hu,Frank B. Hu,Judith Wylie-Rosett,Qibin Qi +10 more
TLDR
This meta-analysis suggests that individuals carrying the homozygous FTO obesity-predisposing allele may lose more weight through diet/lifestyle interventions than noncarriers.About:
This article is published in The American Journal of Clinical Nutrition.The article was published on 2016-04-01 and is currently open access. It has received 88 citations till now. The article focuses on the topics: Weight loss & Genetic model.read more
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Journal ArticleDOI
FTO genotype and weight loss: systematic review and meta-analysis of 9563 individual participant data from eight randomised controlled trials
Katherine M. Livingstone,Katherine M. Livingstone,Carlos Celis-Morales,Carlos Celis-Morales,George D. Papandonatos,Bahar Erar,Jose C. Florez,Jose C. Florez,Kathleen A. Jablonski,Cristina Razquin,Cristina Razquin,Amelia Marti,Amelia Marti,Yoriko Heianza,Tao Huang,Tao Huang,Frank M. Sacks,Mathilde Svendstrup,Xuemei Sui,Timothy S. Church,Tiina Jääskeläinen,Tiina Jääskeläinen,Jaana Lindström,Jaakko Tuomilehto,Matti Uusitupa,Tuomo Rankinen,Wim H. M. Saris,Torben Hansen,Oluf Pedersen,Arne Astrup,Thorkild I. A. Sørensen,Lu Qi,Lu Qi,George A. Bray,Miguel Ángel Martínez-González,Miguel Ángel Martínez-González,J. Alfredo Martínez,J. Alfredo Martínez,Paul W. Franks,Paul W. Franks,Jeanne M. McCaffery,Jose Lara,Jose Lara,John C. Mathers +43 more
TL;DR: Findings show that individuals carrying the minor allele respond equally well to dietary, physical activity, or drug based weight loss interventions and thus genetic predisposition to obesity associated with the FTO minor allele can be at least partly counteracted through such interventions.
Journal ArticleDOI
Improving adherence to healthy dietary patterns, genetic risk, and long term weight gain: gene-diet interaction analysis in two prospective cohort studies.
Tiange Wang,Tiange Wang,Yoriko Heianza,Dianjianyi Sun,Tao Huang,Wenjie Ma,Eric B. Rimm,Eric B. Rimm,JoAnn E. Manson,JoAnn E. Manson,Frank B. Hu,Frank B. Hu,Walter C. Willett,Walter C. Willett,Lu Qi +14 more
TL;DR: Data indicate that improving adherence to healthy dietary patterns could attenuate the genetic association with weight gain, and the beneficial effect of improved diet quality on weight management was particularly pronounced in people at high genetic risk for obesity.
Journal ArticleDOI
Systems biology of personalized nutrition.
Ben van Ommen,Tim J. van den Broek,Iris M de Hoogh,Marjan van Erk,Eugene P. van Someren,Tanja Rouhani-Rankouhi,Joshua C. Anthony,Koen Hogenelst,Wilrike Pasman,André Boorsma,Suzan Wopereis +10 more
TL;DR: Systems flexibility allows the real-time evaluation of metabolism and other processes that maintain homeostasis following an environmental challenge, thereby enabling the formulation of personalized recommendations.
Journal ArticleDOI
Complex Relationship between Obesity and the Fat Mass and Obesity Locus
TL;DR: A comprehensive picture of the impact of FTO on obesity susceptibility is presented and new studies of Fto function in adipose tissue are illuminated to illuminate the functional link between obesity-associated common variants within FTO and the observed human phenotypes.
Journal ArticleDOI
Science and Healthy Meals in the World: Nutritional Epigenomics and Nutrigenetics of the Mediterranean Diet.
TL;DR: The traditional MD emerges as a diet with a high antioxidant and nutrigenomic modulation power, which is an example of the “Environment-Livings-Environment” relationship and an excellent patchwork of interconnected biological actions working toward human health.
References
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Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
Journal ArticleDOI
Measuring inconsistency in meta-analyses
TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
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Bias in meta-analysis detected by a simple, graphical test
TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Quantifying heterogeneity in a meta‐analysis
TL;DR: It is concluded that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity, and one or both should be presented in publishedMeta-an analyses in preference to the test for heterogeneity.
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