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Vascular endothelial growth factor gene variations as a risk predictor in disc degeneration

Overview of attention for article published in Einstein (São Paulo), January 2017
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Title
Vascular endothelial growth factor gene variations as a risk predictor in disc degeneration
Published in
Einstein (São Paulo), January 2017
DOI 10.1590/s1679-45082017ao4053
Pubmed ID
Authors

Aline Amaro, Ana Beatriz Guerra, Matheus Pippa Defino, Luiz Angelo Vieira, Carla Peluso, Bianca Bianco, Luciano Miller Reis Rodrigues

Abstract

To evaluate the frequency of polymorphisms in the vascular endothelial growth factor (VEGF) gene, as well as to identify a potential risk haplotype among the polymorphic regions in this gene in patients with disc degeneration and in the Control Group. This study analyzed a total of 217 individuals distributed into the Disc Degeneration and Control Groups. Peripheral blood was collected from all patients to detect VEGF gene polymorphisms identified by qPCR (rs699947, rs1570360, rs2010963, rs833061 and rs3025039). All patients presenting disc degeneration had the confirmation by nuclear magnetic resonance test and were rated according to disc degeneration level. All polymorphisms were in Hardy- Weinberg equilibrium (p>0.05) in the studied population. The genotypic frequency for Disc Degeneration and Control Group were rs699947 p = 0.475, rs1570360 p = 0.862, rs2010963 p = 0.823, rs833061 p=0.596 and rs3025039 p=0.230. In haplotype analysis, the compositions CAGGC (p=0.094) and CCGGC (p=0.054) stood out. The correlation between VEGF gene polymorphism as a risk predictor for disc degeneration was negative in the studied population. However, the VEGF gene has a large polymorphic region, and it is activated by various catabolic and metabolic factors in the disc degeneration process, which has not been fully elucidated.

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Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Lecturer 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 33%
Sports and Recreations 1 17%
Engineering 1 17%
Unknown 2 33%