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An interaction effect between glucokinase gene variation and carbohydrate intakes modulates the plasma triglyceride response to a fish oil supplementation

Overview of attention for article published in Genes & Nutrition, March 2014
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Title
An interaction effect between glucokinase gene variation and carbohydrate intakes modulates the plasma triglyceride response to a fish oil supplementation
Published in
Genes & Nutrition, March 2014
DOI 10.1007/s12263-014-0395-5
Pubmed ID
Authors

Annie Bouchard-Mercier, Iwona Rudkowska, Simone Lemieux, Patrick Couture, Marie-Claude Vohl

Abstract

A large inter-individual variability in the plasma triglyceride (TG) response to fish oil consumption has been observed. The objective was to investigate the gene-diet interaction effects between single-nucleotide polymorphisms (SNPs) within glucokinase (GCK) gene and dietary carbohydrate intakes (CHO) on the plasma TG response to a fish oil supplementation. Two hundred and eight participants were recruited in the greater Quebec City area. The participants completed a 6-week fish oil supplementation (5 g fish oil/day: 1.9-2.2 g EPA and 1.1 g DHA). Thirteen SNPs within GCK gene were genotyped using TAQMAN methodology. A gene-diet interaction effect on the plasma TG response was observed with rs741038 and CHO adjusted for age, sex and BMI (p = 0.008). In order to compare the plasma TG response between genotypes according to CHO, participants were divided according to median CHO. Homozygotes of the minor C allele of rs741038 with high CHO >48.59 % had a greater decrease in their plasma TG concentrations following the intake of fish oil (p < 0.05) than C/C homozygotes with low CHO and also than the other genotypes either with high or low CHO. The plasma TG response to a fish oil supplementation may be modulated by gene-diet interaction effects involving GCK gene and CHO.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Student > Ph. D. Student 4 17%
Professor 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 26%
Nursing and Health Professions 3 13%
Medicine and Dentistry 3 13%
Computer Science 2 9%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 3 13%
Unknown 5 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 May 2014.
All research outputs
#18,371,959
of 22,755,127 outputs
Outputs from Genes & Nutrition
#298
of 388 outputs
Outputs of similar age
#162,141
of 223,396 outputs
Outputs of similar age from Genes & Nutrition
#7
of 11 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.