Association of methylation status of ABCA1/G1 genes with the risk of coronary artery disease

Egyptian Journal of Medical Human Genetics

Table 5 Association of ABCG1 gene promoter methylation status with anthropometric and laboratory parameters

Variables	Methylation status		Univariate logistic regression		Multiple logistic regression
Variables	M (53)	U (57)	OR(95%CI)	p	OR(95%CI)*	P*
Age	55.17 ± 8.51	52.28 ± 9.65	1.036 (0.933–1.081)	0.100	1.025 (0.98–1.071)	0.286
Gender (M/F)	33/20	42/15	0.589 (0.262–1.325)	0.199	0.756 (0.322–1.772)	0.519
CAD (yes/no)	29/24	41/16	2.121 (0.961–4.679)	0.061	0.450 (0.189–1.068)	0.070
BMI (kg/m²)	25.07 ± 4.81	25.31 ± 4.28	0.988 (0.909–1.074)	0.782
Systolic blood pressure (mmHg)	133.72 ± 20.88	132.23 ± 22.60	1.003 (0.986–1.021)	0.721
Diastolic blood pressure (mmHg)	81.53 ± 9.30	80.49 ± 11.89	1.009 (0.974–1.046)	0.613
Blood pressure history (yes/no)	23/30	22/35	1.220 (0.570–2.611)	0.609
Smoking (yes/no)	27/26	38/19	0.519 (0.240–1.122)	0.094	0.547 (0.238–1.259)	0.156
Aspirin medication (yes/no)	47/6	45/12	2.089 (0.722–6.040)	0.168	2.203 (0.721–6.737)	0.166
Statin medication (yes/no)	40/13	39/18	1.420 (0.614–3.285)	0.411
TG (mg/dl)	132(91–161.5)	134(94–180.5)	0.722 (0.134–3.907)	0.709
Total cholesterol (mg/dl)	156.98 ± 34.76	157.00 ± 43.76	1.000 (0.991–1.010)	0.998
HDL-C (mg/dl)	41.73 ± 12.16	41.70 ± 11.56	1.000 (0.969–1.033)	0.990
LDL-C (mg/dl)	87.04 ± 34.96	83.70 ± 43.07	1.002 (0.993–1.012)	0.658
ApoA1 (mg/dl)	131.30 ± 23.86	130.20 ± 26.48	1.002 (0.987–1.017)	0.818
ApoB (mg/dl)	86.45 ± 28.03	80.44 ± 26.67	1.008 (0.994–1.022)	0.250
ApoB/ApoA1	0.69 ± 0.28	0.64 ± 0.25	2.028 (0.47–8.748)	0.343

M methylated, U unmethylated, CAD coronary artery disease, BMI body mass index, ABCA1 ATP-binding cassette transporters A1, ABCG1 ATP-binding cassette transporters G1, TG triglyceride, HDL-C high-density lipoprotein-cholesterol, LDL-C low-density lipoprotein-cholesterol, ApoA1 apolipoprotein A1, ApoB apolipoprotein B
*OR and P value after adjustment for age, gender, smoking, and aspirin medication
Continuous variables with normal and non-normal distribution are presented as mean ± SD and median (IQR), respectively. Independent Student's t test was performed for normally distributed data and Mann–Whitney U test for non-normally distributed data. Categorical variables are described as number (percentage) using Chi-square test. To determine the relation of ABCA1/G1 methylation and clinical variables, each variable was separately entered in a univariate logistic regression model; then, the variables which had a p < 0.2 were selected and entered into a multiple regression model