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. 2023 Oct 7;15:159. doi: 10.1186/s13148-023-01575-w

Table 1.

Sensitivity analyses of serum iron biomarkers in 2014 datasets with epigenetic aging accelerations

Exposure Outcome Weighted median MR-egger regression Heterogeneitya MR-PRESSO outlier detectb Pleiotropyc
Beta (95% CI) P value Beta (95% CI) P value Beta (95% CI) P Value
Ferritin Grim 0.76 (0.23, 1.29) 4.82E− 03 0.76 (− 0.33, 1.85) 3.04E−01 I2 = 39.6%; Cochrane Q = 5; P = 0.174 No significant outliers Intercept = -0.031; P = 0.603
Ferritin Hannum 0.82 (0.33, 1.31) 1.04E−03 0.83 (− 0.25, 1.91) 3.74E−01 I2 = 0%; Cochrane Q = 2; P = 0.380 No significant outliers Intercept = -0.018; P = 0.812
Ferritin IE 0.75 (0.27, 1.24) 2.29E−03 0.98 (0.14, 1.82) 1.51E−01 I2 = 1.6%; Cochrane Q = 3; P = 0.384 No significant outliers Intercept = -0.028; P = 0.554
Ferritin Pheno 0.80 (0.18, 1.41) 1.18E−02 0.77 (− 0.43, 1.97) 3.34E−01 I2 = 6.7%; Cochrane Q = 3; P = 0.360 No significant outliers Intercept = 0.014; P = 0.820
Iron Grim 0.30 (0.06, 0.55) 1.33E−02 0.49 (0.09, 0.90) 9.77E−02 I2 = 14.5%; Cochrane Q = 5; P = 0.322 No significant outliers Intercept = -0.045; P = 0.309
Iron Hannum 0.31 (0.08, 0.53) 8.00E−03 0.54 (0.06, 1.01) 1.15E−01 I2 = 32.1%; Cochrane Q = 6; P = 0.208 No significant outliers Intercept = -0.043; P = 0.396
Iron IE 0.27 (0.02, 0.51) 3.16E−02 0.65 (0.25, 1.06) 5.09E−02 I2 = 0%; Cochrane Q = 3; P = 0.480 No significant outliers Intercept = -0.064; P = 0.180
Iron Pheno 0.55 (0.24, 0.85) 4.81E−04 0.60 (− 0.40, 1.6) 3.24E−01 I2 = 66.5%; Cochrane Q = 12; P = 0.018 No significant outliers Intercept = -0.027; P = 0.787
Transferrin saturation Grim 0.27 (0.10, 0.44) 1.62E−03 0.28 (0.03, 0.52) 7.80E−02 I2 = 0%; Cochrane Q = 3; P = 0.856 No significant outliers Intercept = -0.011; P = 0.678
Transferrin saturation Hannum 0.28 (0.12, 0.44) 7.46E−04 0.32 (0.01, 0.63) 9.98E−02 I2 = 30.3%; Cochrane Q = 9; P = 0.196 No significant outliers Intercept = -0.013; P = 0.716
Transferrin saturation IE 0.28 (0.11, 0.44) 9.04E−04 0.41 (0.16, 0.66) 2.36E−02 I2 = 0%; Cochrane Q = 2; P = 0.870 No significant outliers Intercept = -0.035; P = 0.238
Transferrin saturation Pheno 0.36 (0.14, 0.58) 1.49E−03 0.33 (− 0.19, 0.85) 2.67E−01 I2 = 56.8%; Cochrane Q = 14; P = 0.031 No significant outliers Intercept = 0.010; P = 0.869
Transferrin Grim − 0.05 (− 0.21, 0.12) 5.68E−01 − 0.18 (− 0.35, 0.01) 8.77E−02 I2 = 4%; Cochrane Q = 9; P = 0.403 No significant outliers Intercept = 0.009; P = 0.633
Transferrin Hannum − 0.12 (− 0.29, 0.05) 1.79E−01 − 0.15 (− 0.34, 0.05) 1.82E−01 I2 = 29.5%; Cochrane Q = 14; P = 0.164 No significant outliers Intercept = -0.012; P = 0.530
Transferrin IE − 0.03 (− 0.19, 0.13) 6.71E−01 − 0.17 (− 0.34, 0.02) 9.29E−02 I2 = 0.7%; Cochrane Q = 9; P = 0.432 No significant outliers Intercept = 0.011; P = 0.547
Transferrin Pheno − 0.17 (− 0.36, 0.03) 9.24E−02 − 0.19 (− 0.44, 0.07) 1.83E−01 I2 = 27.4%; Cochrane Q = 14; P = 0.184 No significant outliers Intercept = -0.005; P = 0.830

aHeterogeneity in the random effect IVW methods was reported

bMR-PRESSO (NbDistribution = 10,000, P < 0.05)

cMR-Egger was used to detect Pleiotropy. There is no pleiotropy was observed among all analyses (P > 0.05)

CI, confidence interval, MR-PRESSO, Mendelian Randomization Pleiotropy RESidual Sum and Outlier, IE Intrinsic epigenetic