Skip to main content
. 2022 Aug 26;6(9):e768. doi: 10.1097/HS9.0000000000000768

Table 1.

Individual-level Analysis of CHIP Mutation Status and Age Acceleration by Linear Regression Analysis

AgeAccel Coef. (95% CI) P
Any CHIP mutation (N = 308 individuals) Horvath 0.98 (−0.67 to 2.63) 0.243
IEAA 1.40 (−0.01 to 2.81) 0.052
Hannum 1.04 (−0.25 to 2.33) 0.112
EEAA 1.06 (−0.56 to 2.69) 0.197
PhenoAge 0.51 (−1.32 to 2.35) 0.582
GrimAge 0.82 (−0.14 to 1.78) 0.094
TET2 mutation (N = 239 individuals) Horvath 1.12 (−1.16 to 3.39) 0.333
IEAA 1.09 (−0.84 to 3.02) 0.266
Hannum 3.04 (1.07 to 5.01) 0.003
EEAA 3.61 (1.17 to 6.06) 0.004
PhenoAge 1.61 (−0.77 to 3.98) 0.183
GrimAge 1.48 (0.15 to 2.81) 0.029
DNMT3A mutation (N = 244 individuals) Horvath 1.03 (−0.86 to 2.93) 0.283
IEAA 1.93 (0.15 to 3.72) 0.034
Hannum −0.58 (−2.11 to 0.95) 0.456
EEAA −1.13 (−3.09 to 0.82) 0.255
PhenoAge 0.01 (−2.35 to 2.37) 0.992
GrimAge 0.68 (−0.81 to 2.16) 0.369

Statistically significant findings (P < 0.05) are indicated in bold.

AgeAccel = epigenetic age acceleration; CHIP = clonal hematopoiesis of indeterminate potential; Coef. = coefficient (beta value); EEAA = extrinsic epigenetic age acceleration; IEAA = intrinsic epigenetic age acceleration.