ASSOCIATION OF GENETIC POLYMORPHISMS IN THE Matrix Gla Protein (MGP) GENE WITH CORONARY ARTERY DISEASE AND SERUM MGP LEVELS
Karsli-Ceppioglu S1,*, Yazar S2, Keskin Y3, Karaca M4, Luleci NE3, Yurdun T1
*Corresponding Author: Seher Karsli-Ceppioglu, Ph.D., Department of Toxicology, Faculty of Pharmacy, Marmara University, Tibbiye Street No. 49, İstanbul 34668, Turkey. Tel: +90-216-414-2962. Fax: +90-216-345-2952. E-mail: seher.karsli@marmara.edu.tr
page: 43

RESULTS

Clinical Characteristics of the Participants. Table 1 presents the main characteristics of 168 subjects and their biochemical parameters indicated as risk factors for CAD. There were no significant differences between glucose, triglyceride, LDL-cholesterol, HDL-cholesterol, total cholesterol levels, estimated glomerular filtration rates (eGFR) of CAD patients and controls (p >0.05). Furthermore, CAD patients were isolated into subgroups as single-vessel disease (n = 62; 55.3%), two-vessel disease (n = 30; 26.8%) and three-vessel disease (n = 20; 17.9%). Serum MGP concentrations were not statistically different between CAD patients and controls (p >0.05). Genotype Distribution of MGP SNPs and Their Associations with CAD Risk and Biochemical Profiles. Genotype frequencies and allele distributions of MGP SNPs rs1800802, rs4236 and rs12304, which were in accordance with HWE expectations, are presented in Table 2. The genotype distributions of rs1800802, rs4236 and rs12304 SNPs were not statistically different between CAD patients and healthy controls (p = 0.701, 0.267, 0.936, respectively). The relation between allele distribution and CAD risk was evaluated by multinomial logistic regression analysis and the results are shown in Table 3. The correlation between rs1800802, rs4236 and rs12304 alleles and CAD risk was not statistically significant (p = 0.822, 0.121 and 0.936, respectively). Moreover, no association was found between the presence of single-, two-, and three-vessel disease and MGP alleles. The allele distributions of SNPs were further evaluated to view the association of MGP gene variants with clinical risk factors for CAD (Table 4). Particularly, polymorphism rs4236 had a correlation with serum HDLcholesterol (p = 0.049). Associations Between MGP SNPs and Serum MGP Levels. The difference of serum MGP levels between CAD patients (0.82 ± 0.37 μg/L) and controls (0.87 ± 0.42 μg/L) were not statistically significant (p >0.05) (Table 1). Serum MGP levels demonstrated diversity related to the rs1800802 genotype distributions in CAD patients (p = 0.019). In addition, genotype distributions of rs4236 were associated with serum MGP levels, especially in the presence of CAD (CAD patients p = 0.012; controls p = 0.022). The histograms of serum MGP concentrations relative to MGP genotypes are shown in Figure 2. The eGFR profiles of subjects were correlated with serum MGP levels (p = 0.015) (Table 4). Haplotype Analysis and Associations Between Haplotypes and CAD Risk, and Serum MGP Levels. Linkage disequilibrium block structures of MGP SNPs were performed by Haploview [12]. Linkage disequilibrium was not observed in rs1800802, rs4236 and rs12304 and their D’ values were under 0.99. Figure 3 presents the LD block structures and their association with CAD risk. At the haplotype analysis, there was no correlation between three haplotypes and CAD risk. Furthermore, serum MGP concentrations showed no difference related to these haplotype distributions, according to multinomial logistic regression analysis.



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