## 3 Results  
Ten patients had an eGFR of less than 15 mL/min/1.73 m\({}^{2}\). We analyzed our patients according to gender, and Table 3 shows the genotype and allele frequencies of polymorphisms under study in the participants. Among three polymorphisms, allele frequency and homozyggosity of rs11959928 were significantly increased in male patients with CKD. rs7805747 heterozygosity was significantly increased in both sexes, and homozyggosity was significantly lower among female patients compared to female controls. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline  & **Controls** & \multicolumn{5}{c}{**Patients**} \\ \hline  & **Total** & **Female** & **Male** & **Total** & **Female** & **Male** \\ \hline No. of subjects & 218 & 129 & 89 & 163 & 95 & 68 \\ Age (years) & 49 \(\pm\) 12.2 & 52 (45.-56.5) & 46.3 \(\pm\) 13.3 & 69 \(\pm\) 11.4 \({}^{*}\) & 50 \(\pm\) 11.2 \({}^{*}\) & 69.1 \(\pm\) 11.7 \\ Hyperlipidemia, n (\%) & 155 (71.1) & 100 (77.5) & 56 (62.9) & 103 (63.2) & 64 (67.4) & 42 (61.8) \\ Smoking, n (\%) & 67 (30.7) & 33 (25.6) & 43 (48.3) & 19 (9.2) \({}^{*}\) & 5 (5.2) \({}^{*}\) & 14 (20.6) \({}^{*}\) \\ Hypertension, n (\%) & 72 (33) & 62 (48) & 13 (14.6) & 80 (52.1) & 54 (56.8) & 26 (38.2) \({}^{*}\) \\ Diabetes mellitus, n (\%) & 21 (9.6) & 15 (11.6) & 10 (11.2) & 61 (37.4) \({}^{*}\) & 30 (31.6) \({}^{*}\) & 32 (47) \({}^{*}\) \\ hs-CRP (mg/L) & 2.2 (1.3-3.4) & 2.7 (13.-5.5) & 1.5 (0.7-3.4) & 3.6 (1.9-6.9) \({}^{*}\) & 3.5 (1.5-7.6) & 3.9 (1.8-8.7) \\ Creatinine (umol/L) & 72 \(\pm\) 14.6 & 65.6 \(\pm\) 12.5 & 82.3 \(\pm\) 11.6 & 142 (122-163) \({}^{*}\) & 132 (102-172) \({}^{*}\) & 161 (128-213) \\ eGFR (mL/min/1.73 m\({}^{2}\)) & 85 (78–91.5) & 83 (71.5–93.5) & 90 \(\pm\) 17 & 36 \(\pm\) 13.7 \({}^{*}\) & 35 \(\pm\) 14 \({}^{*}\) & 37.5 \(\pm\) 13.4 \\ BMI (kg/m\({}^{2}\)) & 27.2 \(\pm\) 6.4 & 27.4 \(\pm\) 7.1 & 26.9 \(\pm\) 5.2 & 30 \(\pm\) 6.5 \({}^{*}\) & 30 \(\pm\) 6.6 \({}^{*}\) & 30 \(\pm\) 6.2 \\ \hline \hline \end{tabular} Data are expressed as mean \(\pm\) SD or median (inter-quartile range). \({}^{*}\)\(p\) < 0.05 for each group of patients compared to its relevant control group. WBC—white blood cell, hs-CRP—high-sensitivity C-reactive protein, eGFR—estimated glomerular filtration rate, and BMI—body mass index.  
\end{table} 
Table 2: Demographic features and baseline clinical characteristics of study population with chronic kidney disease and control individuals. rs7805747 (additive and dominant models) was significantly associated with a lower prevalence of CKD in females, and rs11959928 (all three models) was significantly associated with the prevalence of CKD in males (Table 4). Multivariable logistic regression analysis with adjustment for age, CRP, BMI, the prevalence of diabetes mellitus, and smoking status showed rs7805747 (dominant model) was significantly associated with a lower prevalence of CKD in females, and rs11959928 (additive and dominant models) was significantly associated with the prevalence of CKD in males even after adjustment for confounders. rs7805747 (recessive model) was significantly associated with the prevalence of CKD in males, and multivariable logistic regression analysis with adjustment for confounders did not change its significance (Table 4).