Table 3. Difference of biochemical markers among the subjects according to telomere related genotype.
| Cardiovascular risk factor | rs12696304 | rs10936601 | rs398652 | |||
|---|---|---|---|---|---|---|
| Estimate* | p value | Estimate* | p value | Estimate* | p value | |
| SBP, mmHg | 0.500 (−0.187, 1.186) | 0.154 | 0.449 (−0.230, 1.129) | 0.195 | 0.426 (−0.204, 1.057) | 0.185 |
| DBP, mmHg | 0.470 (0.013, 0.926) | 0.044 | 0.424 (−0.028, 0.876) | 0.066 | 0.302 (−0.118, 0.721) | 0.159 |
| BMI, kg/m2 | 0.046 (−0.082, 0.175) | 0.481 | 0.045 (−0.082, 0.172) | 0.483 | 0.128 (0.010, 0.246) | 0.034 |
| WC, cm | 0.102 (−0.242, 0.445) | 0.561 | 0.074 (−0.266, 0.414) | 0.669 | 0.186 (−0.129, 0.501) | 0.247 |
| Log-transformed FBG, log (mg/dL)† | 0.002 (−0.002, 0.005) | 0.343 | 0.001 (−0.002, 0.004) | 0.511 | 0.001 (−0.002, 0.004) | 0.547 |
| TC, mg/dL | 0.561 (−0.911, 2.033) | 0.455 | 0.423 (−1.034, 1.880) | 0.569 | 1.088 (−0.264, 2.439) | 0.115 |
| Log-transformed HDLC, log (mg/dL)† | 0.003 (−0.000, 0.007) | 0.080 | 0.003 (−0.001, 0.007) | 0.125 | 0.001 (−0.003, 0.004) | 0.765 |
| LDLC, mg/dL | 0.385 (−0.952, 1.722) | 0.572 | 0.293 (−1.031, 1.616) | 0.665 | 0.774 (−0.457, 2.005) | 0.218 |
| Log transformed TG, log (mg/dL)† | −0.004 (−0.013, 0.005) | 0.406 | −0.005 (−0.013, 0.004) | 0.316 | 0.003 (−0.005, 0.011) | 0.488 |
| Log-transformed γ-GTP, log (IU/L)† | −0.003 (−0.016, 0.009) | 0.593 | −0.003 (−0.016, 0.009) | 0.578 | 0.013 (0.001, 0.024) | 0.027 |
| Log-transformed hs-CRP, log (mg/dL)† | 0.007 (−0.016, 0.029) | 0.562 | 0.004 (−0.018, 0.026) | 0.732 | 0.007 (−0.014, 0.027) | 0.513 |
SBP, systolic blood pressure; DBP, diastolic blood pressure; BMI, body mass index; WC, waist circumference; FBG, fasting blood glucose; TC, total cholesterol; HDLC, high density lipoprotein cholesterol; LDLC, low density lipoprotein cholesterol; TG, triglycerides; γ-GTP, gamma-glutamyl transpeptidase; hs-CRP, high sensitivity C reactive protein.
*Estimates are presented as regression coefficient β, 95% confidence interval (CI). Corresponding p values were provided separately. These estimates were obtained from linear regression regressions with an ordinary least squares estimation method. All regression models were adjusted for sex, age, area, body mass index, education level, physical activity, smoking, and drinking. †Values were used in statistical model after log-transformation to satisfy the assumption of normal distribution.