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The association between vitamin D receptor gene polymorphisms (TaqI and FokI), Type 2 diabetes, and micro-/macrovascular complications in postmenopausal women

Overview of attention for article published in The Application of Clinical Genetics, August 2016
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Title
The association between vitamin D receptor gene polymorphisms (TaqI and FokI), Type 2 diabetes, and micro-/macrovascular complications in postmenopausal women
Published in
The Application of Clinical Genetics, August 2016
DOI 10.2147/tacg.s101410
Pubmed ID
Authors

Juliana Maia, Andreia Soares da Silva, Rodrigo Feliciano do Carmo, Taciana Furtado de Mendonça, Luiz Henrique Maciel Griz, Patricia Moura, Francisco Bandeira

Abstract

Since there is evidence of the action of vitamin D as a modulator of insulin release and atherosclerosis, it may well be that the vitamin D receptor polymorphisms are associated with diabetes and its chronic complications. To examine the associations between vitamin D receptor polymorphisms (FokI and TaqI) and Type 2 diabetes (T2DM) and its associated chronic complications in postmenopausal women. This cross-sectional study analyzed 100 postmenopausal women with T2DM (mean age 65.7±7.18 years) and 100 postmenopausal women without diabetes in the control group (mean age 65.1±9.18 years; P=0.1608). We evaluated clinical and metabolic parameters and analyzed TaqI and FokI polymorphisms. There were no significant differences in genotype and allele frequencies between patients and controls in either of the polymorphisms studied. In the group of patients with diabetes, there were no significant differences in either polymorphism in relation to stroke, retinopathy, nephropathy, or neuropathy. However, in patients with T2DM and coronary artery disease, f genotype (P=0.0361) and the combination of Ff + ff genotypes were observed less frequently (P=0.0462). This study suggests the potential protective factor of FokI polymorphism for coronary artery disease in postmenopausal women with T2DM in the recessive model.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 19%
Student > Bachelor 7 13%
Student > Doctoral Student 5 10%
Lecturer 4 8%
Lecturer > Senior Lecturer 2 4%
Other 10 19%
Unknown 14 27%
Readers by discipline Count As %
Medicine and Dentistry 12 23%
Nursing and Health Professions 9 17%
Biochemistry, Genetics and Molecular Biology 5 10%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 4 8%
Unknown 15 29%
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 02 August 2016.
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#17,562,823
of 25,748,735 outputs
Outputs from The Application of Clinical Genetics
#1
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Outputs of similar age
#254,541
of 382,496 outputs
Outputs of similar age from The Application of Clinical Genetics
#1
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