The VEGFA rs2010963 Gene Polymorphism Is a Potential Genetic Risk Factor for Myocardial Infarction in Slovenian Subjects with Type 2 Diabetes Mellitus

Coronary artery disease (CAD) is a life-threatening condition caused by the chronic gradual narrowing of the lumen of the blood vessels of the heart by atherosclerotic plaque with a strong genetic component. The aim of our study was to investigate the association between the <i>VEGFA</i> polymorphism rs2010963 and myocardial infarction in patients with type 2 diabetes, as well as the expression of VEGFA. A total of 1589 unrelated Caucasians with T2DM lasting longer than 10 years were divided into two groups: case group subjects with MI (484) and a control group without a history of CAD (1105). A total of 25 endarterectomy sequesters were immunohistochemically stained to assess VEGFA expression. The rs2010963 polymorphism of the VEGFA gene was genotyped using a KBioscience Ltd. competitive allele-specific fluorescence-based PCR (KASPar) assay. The C allele was significantly more common in the case group according to the dominant model of inheritance (CC + CG vs. GG) (OR: 1.32; 95% CI: 1.05-1.66; <i>p</i> = 0.0197). A statistically significantly higher numerical areal density of VEGFA-positive cells was found in subjects with the C allele (CC + CG genotypes) in comparison to the GG genotype (117 ± 35/mm<sup>2</sup> vs. 58 ± 21/mm<sup>2</sup>; <i>p</i> < 0.001). To conclude, the rs2010963 polymorphism is a potential genetic risk factor for myocardial infarction in Slovenian patients with T2DM.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2024-12-11
DOI
https://doi.org/10.3390/biom14121584
Citations
1
Primary Topic
Angiogenesis and VEGF in Cancer
Type
article
Field-Weighted Citation Impact
0.23
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The VEGFA rs2010963 Gene Polymorphism Is a Potential Genetic Risk Factor for Myocardial Infarction in Slovenian Subjects with Type 2 Diabetes Mellitus

Daniel Petrovič, Emin Grbić, Jernej Letonja
1 citations
Biomolecules
Angiogenesis and VEGF in Cancer
0.23
article

The VEGFA rs2010963 Gene Polymorphism Is a Potential Genetic Risk Factor for Myocardial Infarction in Slovenian Subjects with Type 2 Diabetes Mellitus

Daniel Petrovič, Emin Grbić, Jernej Letonja
article en
1 citations

Abstract

Coronary artery disease (CAD) is a life-threatening condition caused by the chronic gradual narrowing of the lumen of the blood vessels of the heart by atherosclerotic plaque with a strong genetic component. The aim of our study was to investigate the association between the <i>VEGFA</i> polymorphism rs2010963 and myocardial infarction in patients with type 2 diabetes, as well as the expression of VEGFA. A total of 1589 unrelated Caucasians with T2DM lasting longer than 10 years were divided into two groups: case group subjects with MI (484) and a control group without a history of CAD (1105). A total of 25 endarterectomy sequesters were immunohistochemically stained to assess VEGFA expression. The rs2010963 polymorphism of the VEGFA gene was genotyped using a KBioscience Ltd. competitive allele-specific fluorescence-based PCR (KASPar) assay. The C allele was significantly more common in the case group according to the dominant model of inheritance (CC + CG vs. GG) (OR: 1.32; 95% CI: 1.05-1.66; <i>p</i> = 0.0197). A statistically significantly higher numerical areal density of VEGFA-positive cells was found in subjects with the C allele (CC + CG genotypes) in comparison to the GG genotype (117 ± 35/mm<sup>2</sup> vs. 58 ± 21/mm<sup>2</sup>; <i>p</i> < 0.001). To conclude, the rs2010963 polymorphism is a potential genetic risk factor for myocardial infarction in Slovenian patients with T2DM.

BiomoleculesVol. 14(12)
University of Tuzla (BA), University of Ljubljana (SI)
Good health and well-being
Openalex Percentile: Top 40%
Angiogenesis and VEGF in Cancer
0.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.