BR Biomedical Reports 2049-9434 2049-9442 D.A. Spandidos 10.3892/br.2015.423 BR-0-0-423 Articles Association between the polymorphisms of the vascular endothelial growth factor gene and metabolic syndrome KIMYOUNG REE1 HONGSEUNG-HO2 Department of Laboratory Medicine, School of Medicine, Jeju National University, Jeju 690-756, Republic of Korea Department of Science Education, Teachers College, Jeju National University, Jeju 690-781, Republic of Korea Correspondence to: Professor Seung-Ho Hong, Department of Science Education, Teachers College, Jeju National University, 61 Iljudong-ro, Jeju-si, Jeju Special Self-Governing Province, Jeju 690-781, Republic of Korea, E-mail: shong@jejunu.ac.kr 2015-05-01 2015-02-04 3 3 319 326 01122014 27012015 Copyright © 2015, Spandidos Publications 2015

Vascular endothelial growth factor (VEGF) is a major angiogenic factor. Increased levels of VEGF have been reported in patients with metabolic syndrome (MetS). The role of VEGF polymorphisms in MetS susceptibility, however, has not been reported previously. Thus, the present study was performed to analyze the associations between the VEGF −634G>C and 936C>T polymorphisms and the patients with MetS. A total of 320 patients with MetS (mean age, 49.86±11.76 years) and 320 healthy subjects (mean age, 50.94±8.43 years) were enrolled in the study. The VEGF −634G>C polymorphism in the 5′-untranslated region (UTR) and 936C>T polymorphism in 3′-UTR were analyzed by polymerase chain reaction-restriction fragment length polymorphism. The VEGF −634G>C polymorphism significantly affected MetS susceptibility. The CC genotype of the −634G>C polymorphism was significantly associated with an increased risk of MetS [adjusted odds ratio (AOR)=3.973; 95% confidence interval (CI), 2.321–6.799; P<0.0001]. AORs of the dominant (GG vs. GC+CC) and recessive models (GG+GC vs. CC) between the cases and controls were 2.569 (95% CI, 1.657–3.983; P<0.0001) and 2.163 (95% CI, 1.475–3.171; P=0.0001), respectively. Haplotypes of −634G>C and 936C>T were also associated with MetS susceptibility. When the haplotype data were stratified by gender, the association remained only in males. The −634G>C polymorphism was also associated with the subgroups of MetS risk components by the stratification analysis. The 936C>T polymorphism was, however, not associated with the MetS susceptibility. The present study demonstrates that the VEGF −634G>C polymorphism and haplotypes may be a genetic determinant for the MetS susceptibility. To the best of our knowledge, this is the first study on the significant association of the VEGF polymorphisms in MetS patients. To confirm the effects of the VEGF polymorphisms on MetS, further functional and population studies are required.

 metabolic syndrome polymorphism VEGF Introduction

Metabolic syndrome (MetS) is characterized by possessing three or more abnormal traits among the risk factors of triglycerides (TG), high-density lipoprotein (HDL)-cholesterol, blood pressure, glucose and waist circumferences (WC). Although the definition and mechanisms underlying MetS are unclear, MetS is a multifactorial disorder, in which genetic and environmental factors, including diet and life style, play a major role (1). The prevalence of MetS may be different among ethnicities.

Vascular endothelial growth factor (VEGF), a potent angiogenic factor, is a main regulatory protein of endothelial cell proliferation. The human VEGF gene has been mapped to chromosome 6p21.3 and the clones have been isolated and sequenced. The gene is composed of eight exons spanning ∼14 kb of DNA (2). The overexpression of VEGF has been observed in a variety of tissues, including the female reproductive system, ischemic tissues, tumors and transformed cell lines (3). VEGF functions mainly through binding to different membrane-bound receptors, such as VEGF receptor-1 (VEGF-R1), VEGF-R2 and VEGF-receptor-3 (4–6). VEGF-induced vascular permeability and angiogenesis can be caused by the alternative splicing of the VEGF gene (7,8).

Inter-individual variations in the VEGF plasma levels have been reported (9). Increased levels of VEGF have been observed in patients with MetS (10). Plasma VEGF levels were significantly associated with the components of MetS, such as body mass index (BMI), WC, blood pressure and inflammation (11,12). Decreased plasma levels of nitric oxide and VEGF in the patients with MetS may result in significant endothelial dysfunction (13). Soluble VEGF-R2 is increased in the sera of the subjects with MetS in association with insulin resistance (14).

Several mutations have been described in the VEGF gene. The −2578CC genotype of the −2578C>A polymorphism and −634CC genotype of the −634G>C polymorphism are associated with a higher VEGF production compared to the other genotypes (15–18), whereas the 936 T allele of the 936C>T polymorphism correlates with lower VEGF plasma levels than the 936C allele (19,20). VEGF polymorphisms have been associated with several human diseases based on a putative angiogenic factor. In particular, the genetic defects of VEGF could be associated with risk factors of MetS, such as vascular diseases or diabetic retinopathy (DR) (15,16,21–27), although the results are not always consistent in all the populations studied.

Therefore, based on the current biological and pathological significance of VEGF known, it is reasonable to hypothesize that VEGF may be a good candidate in determining the risk of the MetS pathogenesis. However, to the best of our knowledge, the effects of VEGF polymorphisms on MetS susceptibility have not been evaluated previously. To test this hypothesis, the possible associations between the VEGF −634G>C (rs2010963) and 936C>T (rs3025039) polymorphisms and the patients with MetS were investigated.

 Materials and methods <sec> <title>Study population

A total of 320 MetS patients (mean age, 49.86±1.76 years) and 320 healthy controls (mean age, 50.94±8.43 years) were recruited from Jeju, South Korea. The diagnosis of the MetS patients was based upon individuals with three or more traits among the five risk factors according to the National Cholesterol Education Program (28) Adult Treatment Panel III definition for MetS with slight modifications. The control group was selected following health screening to exclude those with a history of chest pain, diabetes, hypertension and general illness. Informed consent for all the study subjects was obtained. The study was approved by the Institutional Review Board of Jeju National University Hospital (Jeju, South Korea). The biospecimens and data used in the study were provided by the Biobank of Jeju National University Hospital, a member of the Korea Biobank Network, supported by the Ministry of Health and Welfare.

 DNA extraction and amplification

Total genomic DNA was prepared from whole blood following the lysis of red blood cells. The areas spanning the polymorphic sites of −634G>C in the 5′-untranslated region (UTR) and 936C>T in the 3′-UTR of the VEGF gene were amplified by the polymerase chain reaction from the genomic DNA using primers and reaction conditions described previously (24). The −634G>C and 936C>T polymorphisms were identified following the digestion of amplified DNA with the endonucleases, AvaII and NlaIII, respectively. Briefly, for the −634G>C polymorphism, the size of the amplicon was 204 base pairs (bp). The −634G allele was cut into two fragments of 180 and 24 bp, whereas the −634C allele remained uncut. Alleles of the 936C>T polymorphic site were classified depending on the presence (T allele, 122 and 86 bp) or absence (C allele, 208 bp) of a restriction enzyme cutting site.

 Phenotype measurements

For the measurements of biochemical concentrations, blood was collected from the study subjects into a tube containing anticoagulant following overnight fasting. The levels of plasma fasting blood sugar (FBS) by the hexokinase-G-6-phosphate dehydrogenase method (Wako, Tokyo, Japan) and TG and HDL-cholesterol by enzymatic colorimetric methods (Kyowa Medex Co., Ltd., Tokyo, Japan) adapted to an automated analyzer TBA-200FR Neo (Toshiba Medical Systems Co., Ltd., Tokyo, Japan) were determined.

The anthropometric parameters containing BMI and WC were measured. The BMI was calculated as the weight in kilograms divided by the square of the height in meters. With a flexible tape, WC was measured at the smallest horizontal circumference between the costal margin and iliac crest. Blood pressures were measured using a standard sphygmomanometer on the right arm at a seated position after 10 min of rest.

The MetS patients had significantly higher values (P<0.001) for all the conventional risk factors containing BMI, TG, systolic blood pressure (SBP), diastolic blood pressure (DBP) and WC, but lower HDL-cholesterol levels (P<0.001) compared to the controls (Table I).

 Statistical analysis

The student's t-test was used to compare the demographic characteristics between the patients and controls. The χ2 test was used for the categorical variables to analyze baseline characteristics. The χ2 test was also used for comparing the frequencies of the VEGF polymorphisms between the controls and cases. Allele frequencies were calculated by the gene counting method to identify deviations from the Hardy-Weinberg equilibrium. The associations among the MetS and VEGF genotypes were estimated by computing the odd ratios and 95% confidence intervals (95% CIs) using the Fisher's exact test. The adjusted odds ratios (AORs) for the VEGF polymorphisms were determined from multiple logistic regression using age and gender. StatsDirect statistical software (Version 2.4.4; StatsDirect Ltd, Altrincham, UK) was used to calculate the AOR and 95% CI. The stratification analysis was used to assess the MetS risk components. P<0.05 was considered to indicate a statistically significant difference. Haplotype frequencies for multiple loci were estimated using the expectation-maximization algorithm with SNPAlyze (Version 5.1; Dynacom Co., Ltd., Yokohama, Japan).

 Results <sec> <title>Genotype frequencies

The genotype frequencies of the VEGF −634G>C and 936C>T polymorphisms between MetS and control groups are shown in Table II. The genotype distributions for two polymorphic loci were not deviated significantly from the Hardy-Weinberg equilibrium for the two groups.

The GC and CC genotype frequencies for the GG genotype of the −634G>C polymorphism were significantly associated with an increased risk of MetS susceptibility (AOR=2.124; 95% CI, 1.352–3.336; P=0.001; and AOR=3.973; 95% CI, 2.321–6.799; P<0.0001, respectively). The dominant (GG vs. GC+CC) and recessive (GG+GC vs. CC) models of the −634G>C polymorphism were also significantly different between the MetS patients and controls (AOR=2.569; 95% CI, 1.657–3.983; P<0.0001; and AOR=2.163; 95% CI, 1.475–3.171; P=0.001, respectively). In practice, the C allele frequency (0.609) of the MetS patients was significantly higher than that of the controls (0.466). When the MetS and control subjects were subgrouped according to the gender, the association remained as almost the same pattern with total subjects in males and females (Table III). By contrast, the TT genotype and dominant model (CC vs. CT+TT) frequencies of the 936C>T polymorphism were higher in the MetS patients compared to the controls (P=0.059 and P=0.05, respectively), although they were not statistically significant. No significant difference was detected when the data of the 936C>T polymorphism were stratified by the gender.

 Haplotype frequencies

The haplotype frequencies of the VEGF −634G>C and 936C>T polymorphisms were compared between the MetS patients and control groups (Table IV). The C-C and C-T haplotypes of the −634G>C and 936C>T polymorphisms were associated with increased MetS susceptibility, whereas the G-C haplotype was significantly lower in the MetS patients compared to the controls. When the haplotype data were stratified by the gender, the association remained in the male group only (Table V).

 Stratification analysis for the risk components

Table VI lists the stratification analysis for risk components of MetS in the −634G>C polymorphism. The −634GC+CC for the −634GG genotype was associated with increased MetS susceptibility for three components [BMI ≥25; glucose ≥110; TG ≥150; and HDL-cholesterol <40 (male) and <50 (female)]. However, other components [HDL-cholesterol, ≥40 (male) and ≥50 (female); SBP <135; DBP <85; and WC <90 (male) and <85 (female)] were associated with decreased MetS susceptibility. By contrast, the 936CT+TT frequency for 936CC in the 936C>T polymorphism was associated with decreased MetS susceptibility only in the blood pressure (SBP <135 and DBP <85) by the stratification analysis (data not shown).

 Discussion

VEGF, a major angiogenic factor, is involved in the regulation of endothelial cell proliferation. Thus, the potential role of VEGF has attracted considerable interest. Thus far, several single-nucleotide polymorphisms (SNPs) have been described in the VEGF gene. Certain SNPs are associated with a susceptibility to several disorders; however, the results are not always consistent in all the studied populations.

Although the causes of MetS development are unclear, it is a multifactorial disease that occurs following a complex interaction between genetic factors that are largely unknown and environmental factors, such as lifestyle and dietary habits. The patients with MetS are associated with increased levels of VEGF (10). Therefore, it is possible to hypothesize the involvement of VEGF in the MetS pathogenesis. In spite of the association studies of VEGF polymorphisms with several diseases, to the best of our knowledge, the effect of VEGF polymorphisms on the risk of MetS has not been evaluated. Therefore, the association between the −634G> polymorphism in the 5′-UTR and 936C>T polymorphism in the 3′-UTR of the VEGF gene and the patients with the MetS was analyzed as a case-control study.

In the present study, the CC genotype and C allele frequencies of the VEGF −634G>C polymorphism were associated with significantly increased MetS susceptibility in the Korean population. MetS is associated with an increased risk of metabolic or vascular disorders, such as diabetes, atherosclerosis and cardiovascular events. Previous studies have reported that the −634G>C polymorphism is associated with a susceptibility to disorders, such as DR in the subjects with type 2 diabetes, coronary artery disease (CAD) and acute myocardial infarction (AMI). The CC genotype or C allele of the VEGF −634G>C polymorphism is associated with increased DR susceptibility in type 2 diabetes (16,22,29,30). By a meta-analysis, Qiu et al (31) confirmed the association between the −634G>C polymorphism and DR in the subjects with type 2 diabetes. The CC genotype was also associated with an impaired prognosis in the patients with chronic heart failure (21), the development of heart failure following myocardial infarction (23), AMI (15) and coronary collaterals in the patients with CAD (26) and coronary atherosclerosis (25). The −634 variant genotypes (GC and CC) in the patients with silent brain infarction were significantly lower than those in the controls (24), whereas the G allele of −634G>C polymorphism was significantly higher in the patients with Kawasaki disease with coronary artery lesions (CAL) than in those without CAL or control subjects (32). Moradzadegan et al (33) reported that the −634G allele can be an independent risk factor for the susceptibility of CAD in Iranian type II diabetic patients. The −634CC or GG genotype is associated with different stages of peripheral arterial disease (PAD) in the diabetic patients (34). The GG genotype in the −634G>C polymorphism is independently associated with the development of a diabetic nephropathy population (35). Although Petrovic et al (36) did not identify the genetic susceptibility to proliferative diabetic retinopathy for the −634G>C polymorphism, significantly higher serum levels of VEGF were demonstrated in DR with the CC genotype compared to those with the other (CG+GG) genotypes.

By contrast, several studies reported that the associations were not between the −634G>C polymorphism and the diseases. For example, the −634G>C polymorphism was not associated with DR (37,38), the risk of cardiovascular disease in patients with rheumatoid arthritis (39), intima-media thickness and the risk of AMI (40), coronary atherosclerosis patients (41), vasculitis (42) and susceptibility of conotruncal heart defects (27). The influence of the −634G>C polymorphism on the risk for MetS, to the best of our knowledge, has not been reported. Therefore, the present data requires confirmation as an association between the −634G>C polymorphism and MetS patients of various ethnicities with larger sample numbers.

In the present study, the C-C and C-T haplotypes of the −634G>C and 936C>T polymorphisms were associated with increased MetS susceptibility, indicating that there could be a linkage disequilibrium (LD) between the −634G>C and 936C>T polymorphisms, or these mutations may have LD with another functional mutation elsewhere in the VEGF gene sequence, thereby causing differences between individuals in the production of the VEGF protein. Kim et al (24) reported strong LDs between loci −1154G>A and −634G>C, and −2578C>A and −634G>C in the ischemic stroke patients, and −2578C>A and −634G>C of the VEGF gene in the patients with silent brain infarction. Several studies reported that the haplotypes of the VEGF polymorphisms can affect the susceptibility of the diseases. The C-A-G and C-A-C haplotypes of the VEGF −2578C>A, −1154G>A and −634G>C polymorphisms were also more common in the African-American compared to the Caucasian population, indicating interethnic disparities in the susceptibility to cardiovascular diseases (43). The −2578A>C, −634G>C and 936C>T variations in the VEGF gene are weakly associated with intima-media thickness and the risk of AMI, but the effect can only be observed when the information of the SNPs is combined by constructing haplotypes (40).

Healthy subjects with the CC genotype of the −634G>C polymorphism have significantly higher VEGF levels than those with the other genotypes (18). The levels of plasma VEGF could not be estimated; therefore, whether the −634G>C polymorphism of the VEGF gene was associated with the clinical components of MetS was examined by the stratification analysis (Table IV). The −634GC+CC frequency for −634GG was associated with increased MetS susceptibility for abnormality values of BMI (P=0.0001), FBS (P=0.024), TG (P=0.034) and HDL-cholesterol (P=0.012). Although the mechanism is currently unknown, one possible hypothesis is that the VEGF protein could be correlated with the MetS risk factors. Plasma VEGF levels were significantly associated with the components of MetS, such as BMI, WC, blood pressure and inflammation (11,12). Sandhofer et al (44) also reported that plasma VEGF and VEGF-R1 is correlated with cardiovascular risk factors in Austrian healthy subjects. VEGF expression could be fluctuated with an interaction between VEGF and VEGF receptors, and by the alternative splicing of the VEGF gene (7,8). Another possibility is that VEGF levels could be altered by its gene expression. In practice, the VEGF expression could be increased at the transcriptional and translational levels by −634G>C substitution (45). Stevens et al (46) reported that subjects with the −460C/+405G haplotype of the VEGF −460C>T and +405G/C (also known as −634G>C) polymorphisms had an increased VEGF promoter activity. The −634G>C locus is located in a potential binding site of the myeloid zinc finger-1 transcription factor of the 5′-UTR.

In the light of the genetic heterogeneity, MetS may develop from the joint effect of the VEGF gene with other genes associated with the MetS development. Recently, Strauss et al (47) reported that VEGF −634C allele carriers were associated with an increased risk for the development of the abdominal aortic aneurysm (AAA) without coexisting PAD, or risk independently of PAD coexistence. The risk was enhanced by the interaction of the −634CC homozygotes with 1772CC and 1790GG genotypes of the hypoxia-induced factor-1α (HIF1A) gene 1772C>T and 1790G>A polymorphisms. By contrast, the interaction of the −634GG homozygotes with the 1772T allele of the HIF1A 1772C>T polymorphism and 1772T-1790G haplotype were significantly associated with the occurrence of AAA with concomitant PAD for the dominant model. Therefore, it is extremely difficult to explain only with VEGF polymorphisms due to the genetic heterogeneity, such as MetS.

The present study demonstrates that, at least in the Korean population, the −634G>C polymorphism and haplotypes of the VEGF gene may be the risk factors for MetS susceptibility. This is the first study regarding the association between the VEGF polymorphisms and patients with MetS. The data add further evidence to the concept of a polygenic etiological background of MetS. However, the role of VEGF and VEGF SNPs in the pathogenesis of MetS is uncertain and remains to be determined. Therefore, further evaluation is necessary to explore the associations between the VEGF polymorphisms and MetS using larger samples in various ethnic populations. Functional studies are also required to confirm the role of VEGF or VEGF SNPs in MetS.

 Acknowledgements

The present study was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Education, Science and Technology (grant no. NRF-2012R1A1A4A01012216).

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Comparisons of the demographic characteristics between the controls and MetS patients.

Characteristic Control MetS patients P-valuea
Subjects, n 320 320
Age, years 50.94±8.43 49.86±11.76 0.183
BMI, kg/m2 23.87±2.715 27.40±2.65 <0.001
FBS, mg/dl 87.35±10.09 104.41±26.67 <0.001
TG, mg/dl 86.53±39.57 211.89±170.81 <0.001
HDL-cholesterol, mg/dl 57.01±13.57 44.44±10.41 <0.001
SBP, mmHg 117.99±12.03 133.61±14.53 <0.001
DBP, mmHg 70.84± 8.53 81.95±10.43 <0.001
WC, cm 72.07±9.160 85.38±10.28 <0.001

Data are mean ± standard deviation.

χ2 test for categorical data, two-sided t-test for continuous data. MetS, metabolic syndrome; BMI, body mass index; FBS, fasting blood sugar; TG, triglyceride; HDL-cholesterol, high-density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; WC, waist circumference.

Genotype frequencies of the VEGF −634G>C and 936C>T polymorphisms between the control subjects and MetS patients.

Genotype Controls (n=320) MetS (n=320) AOR (95% CI) P-valuea
VEGF −634G>C
  GG   85 (26.5)   39 (12.2) 1.000 (reference)
  GC 172 (53.8) 172 (53.8) 2.124 (1.352–3.336)   0.001b
  CC   63 (19.7) 109 (34.0) 3.973 (2.321–6.799) <0.0001b
  GG vs. GC+CC 2.569 (1.657–3.983) <0.0001b
  GG+GC vs. CC 2.163 (1.475–3.171)   0.0001b
VEGF 936C>T
  CC 216 (67.5) 196 (61.3) 1.000 (reference)
  CT   89 (27.8)   99 (30.9) 1.321 (0.914–1.910) 0.139
  TT 15 (4.7) 25 (7.8) 1.985 (0.975–4.039) 0.059
  CC vs. CT+TT 1.414 (1.000–1.998) 0.050
  CC+CT vs. TT 1.811 (0.898–3.651) 0.097

Adjusted by age and gender

significant difference. VEGF, vascular endothelial growth factor; MetS, metabolic syndrome; AOR, adjusted odds ratio; CI, confidence interval.

Genotype frequencies of the VEGF polymorphisms between the controls and patients with MetS according to gender.

Male Female
Genotype Controls (n=152) MetS (n=254) OR (95% CI) P-valuea Controls (n=168) MetS (n=66) OR (95% CI) P-valuea
VEGF −634G>C
  GG   39 (25.7)   31 (12.2) 1.000 (reference)   46 (27.4)   8 (12.1) 1.000 (reference)
  GC   88 (57.9) 133 (52.4) 1.925 (1.108–3.342)   0.020b   84 (50.0) 39 (59.1) 2.444 (1.040–5.744) 0.040b
  CC   25 (16.4)   90 (35.4) 4.809 (2.483–9.311) <0.0001b   38 (22.6) 19 (28.8) 2.641 (1.025–6.806) 0.044b
  GG vs. GC+CC 2.540 (1.496–4.310)   0.001b 2.521 (1.107–5.741) 0.028b
  GG+GC vs. CC 2.950 (1.776–4.902) <0.0001b 1.350 (0.700–2.605) 0.371
VEGF 936C>T
  CC 107 (70.4) 158 (62.2) 1.000 (reference) 109 (64.9) 38 (57.6) 1.000 (reference)
  CT   38 (25.0)   77 (30.3) 1.357 (0.854–2.156)   0.196   51 (30.3) 22 (33.3) 1.251 (0.665–2.356) 0.488
  TT 7 (4.6) 19 (7.5) 2.045 (0.808–5.175)   0.131  8 (4.8) 6 (9.1) 2.148 (0.661–6.980) 0.204
  CC vs. CT+TT 1.447 (0.937–2.235)   0.096 1.370 (0.757–2.482) 0.299
  CC+CT vs. TT 1.797 (0.727–4.442)   0.204 1.978 (0.364–6.176) 0.240

Adjusted by age and gender

significant difference. VEGF, vascular endothelial growth factor; MetS, metabolic syndrome; AOR, adjusted odds ratio; CI, confidence interval.

Comparison of the haplotype frequencies of the VEGF −634G>C and 936C>T polymorphisms between control subjects and patients with MetS.

Haplotype Controls (2n=640, %) MetS (2n=640, %) OR (95% CI) P-valuea
−634G>C/936C>T
G-C 279 (43.6) 192 (30.0) 0.555 (0.441–0.698) <0.0001b
G-T 63 (9.8) 58 (9.1) 0.913 (0.627–1.328)   0.703
C-C 242 (37.8) 299 (46.7)  1.442 (1.154–1.802)   0.002b
C-T 56 (8.8) 91 (14.2) 1.729 (1.215–2.460)   0.003b

Fisher's exact test

significant difference. VEGF, vascular endothelial growth factor; MetS, metabolic syndrome; OR; odds ratio, CI, confidence interval.

Genotype frequencies of the VEGF polymorphisms between the controls and patients with MetS according to gender.

Male Female
Haplotype Controls (2n=304) MetS (2n=508) OR (95% CI) P-valuea Controls (2n=336) MetS (2n=132) OR (95% CI) P-valuea
−634G>C/936C>T
G-C 132 (43.4) 148 (29.1) 0.536 (0.398–0.721) <0.0001b 147 (43.8) 45 (34.1) 0.665 (0.437–1.012) 0.061
G-T 34 (11.2) 46 (9.1) 0.810 (0.508–1.291)   0.398 29 (8.6) 10 (7.6) 0.868 (0.410–1.835) 0.853
C-C 120 (39.5) 246 (48.4) 1.440 (1.079–1.921)   0.013b 122 (36.3) 53 (40.1) 1.177 (0.779–1.779) 0.459
C-T 18 (5.9)    68 (13.4) 2.456 (1.430–4.216)   0.001b 38 (11.3) 24 (18.2) 1.743 (0.999–3.040) 0.068

Fisher's exact test

significant difference. VEGF, vascular endothelial growth factor; MetS, metabolic syndrome; OR; odds ratio, CI, confidence interval.

Genotype frequencies of the VEGF −634G>C polymorphism according to variables.

Variables VEGF −634G>C Control (n=320) MetS (n=320) AOR (95% CI) P-valuea
BMI, kg/m2
  ≥25 634 GG 30 (9.4) 32 (10.0) 1.000 (reference)
634 GC+CC 74 (23.1) 234 (73.1) 3.042 (1.715–5.397)   0.0001b
  <25 634 GG 55 (17.2) 7 (2.2) 1.000 (reference)
634 GC+CC 161 (50.3) 47 (14.7) 1.968 (0.799–4.846)   0.141
FBS, mg/dl
  ≥110 634 GG 3 (0.9) 6 (1.9) 1.000 (reference)
634 GC+CC 5 (1.6) 74 (23.1) 9.738 (1.348–70.36)   0.024b
  <110 634 GG 82 (25.6) 33 (10.3) 1.000 (reference)
634 GC+CC 230 (71.9) 207 (64.7) 2.165 (1.356–3.456)   0.001b
TG, mg/dl
  ≥150 634 GG 7 (2.2) 27 (8.4) 1.000 reference)
634 GC+CC 19 (5.9) 198 (61.9) 2.821 (1.080–7.370)   0.034b
  <150 634 GG 78 (24.4) 12 (3.8) 1.000 (reference)
634 GC+CC 216 (67.5) 80 (25.0) 2.244 (1.135–4.440)   0.020b
HDL-cholesterol, mg/dl
  <40, male, <50, female 634 GG 13 (4.1) 20 (6.3) 1.000 (reference)
634 GC+CC 32 (10.0) 137 (42.8) 2.773 (1.248–6.161)   0.012b
  ≥40, male, ≥50, female 634 GG 72 (22.5) 19 (5.9) 1.000 (reference)
634 GC+CC 203 (63.4) 144 (45.0) 2.749 (1.584–4.769)   0.0003b
SBP, mmHg
  ≥135 634 GG 5 (1.6) 22 (6.9) 1.000 (reference)
634 GC+CC 21 (6.5) 117 (36.6) 1.261 (0.415–3.833)   0.683
  <135 634 GG 80 (25.0) 17 (5.3) 1.000 (reference)
634 GC+CC 214 (66.9) 164 (51.2) 3.615 (2.016–6.480) <0.0001b
DBP, mmHg
  ≥85 634 GG 3 (0.9) 13 (4.1) 1.000 (reference)
634 GC+CC 15 (4.7) 101 (31.6) 1.843 (0.413–8.224)   0.423
  <85 634 GG 82 (25.6) 26 (8.1) 1.000 (reference)
634 GC+CC 220 (68.8) 180 (56.2) 2.495 (1.513–4.116)   0.0003b
WC, cm
  ≥90, male, ≥85, female 634 GG 3 (0.9) 25 (7.8) 1.000 (reference)
634 GC+CC 13 (4.1) 124 (38.7) 1.123 (0.289–4.361)   0.867
  <90, male, <85, female 634 GG 82 (25.6) 14 (4.4) 1.000 (reference)
634 GC+CC 222 (69.4) 157 (49.1) 4.176 (2.284–7.634) <0.0001b

Adjusted by age and gender

significant difference. VEGF, vascular endothelial growth factor; MetS, metabolic syndrome; AOR; adjusted odds ratio, CI, confidence interval; BMI, body mass index; FBS, fasting blood sugar; TG, triglycerides; HDL-cholesterol, high density lipoprotein cholesterol; SBP, systolic blood pressure; DBP, diastolic blood pressure; WC, waist circumference.