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Genetic analysis of the ELOVL6 gene polymorphism associated with type 2 diabetes mellitus

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, July 2013
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Title
Genetic analysis of the ELOVL6 gene polymorphism associated with type 2 diabetes mellitus
Published in
Brazilian Journal of Medical and Biological Research, July 2013
DOI 10.1590/1414-431x20133103
Pubmed ID
Authors

Y. Liu, F. Wang, X.L. Yu, Z.M. Miao, Z.C. Wang, Y. Chen, Y.G. Wang

Abstract

Recent animal studies have indicated that overexpression of the elongation of long-chain fatty acids family member 6 (Elovl6) gene can cause insulin resistance and β-cell dysfunction. These are the major factors involved in the development of type 2 diabetes mellitus (T2DM). To identify the relationship between single nucleotide polymorphisms (SNP) of ELOVL6 and T2DM pathogenesis, we conducted a case-control study of 610 Han Chinese individuals (328 newly diagnosed T2DM and 282 healthy subjects). Insulin resistance and islet first-phase secretion function were evaluated by assessment of insulin resistance in a homeostasis model (HOMA-IR) and an arginine stimulation test. Three SNPs of the ELOVL6 gene were genotyped with polymerase chain reaction-restriction fragment length polymorphism, with DNA sequencing used to confirm the results. Only genotypes TT and CT of the ELOVL6 SNP rs12504538 were detected in the samples. Genotype CC was not observed. The T2DM group had a higher frequency of the C allele and the CT genotype than the control group. Subjects with the CT genotype had higher HOMA-IR values than those with the TT genotype. In addition, no statistical significance was observed between the genotype and allele frequencies of the control and T2DM groups for SNPs rs17041272 and rs6824447. The study indicated that the ELOVL6 gene polymorphism rs12504538 is associated with an increased risk of T2DM, because it causes an increase in insulin resistance.

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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 > Bachelor 4 17%
Student > Ph. D. Student 4 17%
Student > Master 4 17%
Other 3 13%
Professor 2 9%
Other 3 13%
Unknown 3 13%
Readers by discipline Count As %
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 4 17%
Biochemistry, Genetics and Molecular Biology 3 13%
Engineering 3 13%
Neuroscience 3 13%
Other 3 13%
Unknown 3 13%
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 05 October 2014.
All research outputs
#20,656,161
of 25,374,647 outputs
Outputs from Brazilian Journal of Medical and Biological Research
#901
of 1,254 outputs
Outputs of similar age
#159,170
of 209,336 outputs
Outputs of similar age from Brazilian Journal of Medical and Biological Research
#3
of 5 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,254 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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