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Evaluation of the association between the TAS1R2 and TAS1R3 variants and food intake and nutritional status in children

Overview of attention for article published in Genetics and Molecular Biology, May 2017
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Title
Evaluation of the association between the TAS1R2 and TAS1R3 variants and food intake and nutritional status in children
Published in
Genetics and Molecular Biology, May 2017
DOI 10.1590/1678-4685-gmb-2016-0205
Pubmed ID
Authors

Silvia V. Melo, Grasiela Agnes, Márcia R. Vitolo, Vanessa S. Mattevi, Paula D.B. Campagnolo, Silvana Almeida

Abstract

Taste perception plays a key role in determining individual food preferences and dietary habits and may influence nutritional status. This study aimed to investigate the association of TAS1R2 (Ile191Val - rs35874116) and TAS1R3 (-1266 C/T - rs35744813) variants with food intake and nutritional status in children followed from birth until 7.7 years old. The nutritional status and food intake data of 312 children were collected at three developmental stages (1, 3.9 and 7.7 years old). DNA was extracted from blood samples and the polymorphisms were analyzed by real-time polymerase chain reactions (qPCR) using hydrolysis probes as the detection method. Food intake and nutritional status were compared among individuals with different single nucleotide polymorphism (SNP) genotypes. At 3.9 years old, children homozygous (Val/Val) for the TAS1R2 Ile191Val polymorphism ingested less sugar and sugar-dense foods than children who were *Ile carriers. This finding demonstrated that a genetic variant of the T1R2 taste receptor is associated with the intake of different amounts of high sugar-content foods in childhood. This association may provide new perspectives for studying dietary patterns and nutritional status in childhood.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Student > Bachelor 10 18%
Other 4 7%
Professor 4 7%
Researcher 4 7%
Other 11 20%
Unknown 11 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 22%
Agricultural and Biological Sciences 8 15%
Medicine and Dentistry 7 13%
Nursing and Health Professions 3 5%
Neuroscience 3 5%
Other 4 7%
Unknown 18 33%
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 13 May 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Genetics and Molecular Biology
#647
of 772 outputs
Outputs of similar age
#284,999
of 325,438 outputs
Outputs of similar age from Genetics and Molecular Biology
#12
of 16 outputs
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So far Altmetric has tracked 772 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 16 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.