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Table 2 Results of linear mixed regression models predicting relative telomere length (RTL) from difference-based methylation age acceleration

From: Frailty is associated with the epigenetic clock but not with telomere length in a German cohort

Covariables

Dataset 1

Dataset 2

Overall

p a

None

0.0013 (−0.0017, 0.0043)

−0.0016 (−0.0044, 0.0012)

0.0000 (−0.0021, 0.0021)

1.00

Age

−0.0009 (−0.0039, 0.0022)

−0.0031 (−0.0060,−0.0003)

−0.0018 (−0.0039, 0.0003)

0.094

Age, sex

−0.0004 (−0.0035, 0.0027)

−0.0021 (−0.0050, 0.0007)

−0.0011 (−0.0032, 0.0010)

0.30

Age, sex, leucocyte distribution (LD)

0.0001 (−0.0033, 0.0034)

−0.0014 (−0.0044, 0.0016)

−0.0006 (−0.0028, 0.0017)

0.63

Age, sex, LD, smoking

0.0001 (−0.0033, 0.0035)

−0.0015 (−0.0046, 0.0015)

−0.0006 (−0.0028, 0.0017)

0.63

Age, sex, LD, alcohol

−0.0002 (−0.0036, 0.0033)

−0.0017 (−0.0048, 0.0015)

−0.0009 (−0.0032, 0.0015)

0.48

Age, sex, LD, history of cancer

0.0001 (−0.0032, 0.0035)

−0.0017 (−0.0047, 0.0013)

−0.0006 (−0.0029, 0.0016)

0.58

Age, sex, LD, interaction (age accel. with sex)

 Estimate in females

−0.0020 (−0.0064, 0.0023)

−0.0014 (−0.0054, 0.0026)

−0.0011 (−0.0041, 0.0018)

0.45

 Estimate in males

0.0024 (−0.0022, 0.0070)

−0.0014 (−0.0056, 0.0028)

0.0001 (−0.0030, 0.0032)

0.96

  1. Shown is the estimated change (95 % confidence interval) in RTL per year of age acceleration. All models are adjusted for methylation array batch and telomere assay batch using a random effect
  2. a p values refer to type 3 tests of fixed effects of the overall model