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Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population

Overview of attention for article published in Nutrition & Metabolism, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

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1 blog
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2 X users
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1 Facebook page

Citations

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45 Dimensions

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150 Mendeley
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Title
Interaction between FTO gene variants and lifestyle factors on metabolic traits in an Asian Indian population
Published in
Nutrition & Metabolism, June 2016
DOI 10.1186/s12986-016-0098-6
Pubmed ID
Authors

Karani S. Vimaleswaran, Dhanasekaran Bodhini, N. Lakshmipriya, K. Ramya, R. Mohan Anjana, Vasudevan Sudha, Julie A. Lovegrove, Sanjay Kinra, Viswanathan Mohan, Venkatesan Radha

Abstract

Lifestyle factors such as diet and physical activity have been shown to modify the association between fat mass and obesity-associated (FTO) gene variants and metabolic traits in several populations; however, there are no gene-lifestyle interaction studies, to date, among Asian Indians living in India. In this study, we examined whether dietary factors and physical activity modified the association between two FTO single nucleotide polymorphisms (rs8050136 and rs11076023) (SNPs) and obesity traits and type 2 diabetes (T2D). The study included 734 unrelated T2D and 884 normal glucose-tolerant (NGT) participants randomly selected from the urban component of the Chennai Urban Rural Epidemiology Study (CURES). Dietary intakes were assessed using a validated interviewer administered semi-quantitative food frequency questionnaire (FFQ). Physical activity was based upon the self-report. Interaction analyses were performed by including the interaction terms in the linear/logistic regression model. There was a significant interaction between SNP rs8050136 and carbohydrate intake (% energy) (Pinteraction = 0.04), where the 'A' allele carriers had 2.46 times increased risk of obesity than those with 'CC' genotype (P = 3.0 × 10(-5)) among individuals in the highest tertile of carbohydrate intake (% energy, 71 %). A significant interaction was also observed between SNP rs11076023 and dietary fibre intake (Pinteraction = 0.0008), where individuals with AA genotype who are in the 3(rd) tertile of dietary fibre intake had 1.62 cm lower waist circumference than those with 'T' allele carriers (P = 0.02). Furthermore, among those who were physically inactive, the 'A' allele carriers of the SNP rs8050136 had 1.89 times increased risk of obesity than those with 'CC' genotype (P = 4.0 × 10(-5)). This is the first study to provide evidence for a gene-diet and gene-physical activity interaction on obesity and T2D in an Asian Indian population. Our findings suggest that the association between FTO SNPs and obesity might be influenced by carbohydrate and dietary fibre intake and physical inactivity. Further understanding of how FTO gene influences obesity and T2D through dietary and exercise interventions is warranted to advance the development of behavioral intervention and personalised lifestyle strategies, which could reduce the risk of metabolic diseases in this Asian Indian population.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 149 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 17%
Student > Master 19 13%
Student > Ph. D. Student 18 12%
Researcher 16 11%
Student > Doctoral Student 11 7%
Other 28 19%
Unknown 33 22%
Readers by discipline Count As %
Medicine and Dentistry 26 17%
Biochemistry, Genetics and Molecular Biology 19 13%
Agricultural and Biological Sciences 19 13%
Nursing and Health Professions 15 10%
Sports and Recreations 4 3%
Other 23 15%
Unknown 44 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2019.
All research outputs
#3,701,053
of 22,876,619 outputs
Outputs from Nutrition & Metabolism
#319
of 950 outputs
Outputs of similar age
#64,977
of 339,345 outputs
Outputs of similar age from Nutrition & Metabolism
#4
of 13 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,345 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.