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Table 2 The association between number of epigenetic mutations (log10-transformed) and age from mixed models with confounders

From: Comprehensive longitudinal study of epigenetic mutations in aging

Number of epigenetic mutations

Effect sizes (p values)

Age (year)

Sex (Female to male)

CD19+ B cells (proportion)

1st genetic principal component

Sample quality*

Cancer diagnosis

Total epigenetic mutations

8.29e-03 (1.22e-13)

0.0722 (6.33e-03)

4.21 (5.06e-23)

0.445 (0.0413)

0.369 (1.48e-117)

0.0697 (0.0139)

Frequent epigenetic mutations

6.03e-03 (2.17e-19)

-0.0180 (0.33)

1.76 (1.37e-12)

0.595 (1.28e-04)

0.0573 (5.84e-13)

0.0478 (0.0164)

Frequent high methylation outliers

6.81e-03 (2.09e-17)

-0.0314 (0.16)

2.09 (2.25e-12)

0.750 (7.65e-05)

0.0512 (3.58e-08)

0.0602 (0.0130)

Frequent low methylation outliers

2.82e-03 (1.14e-05)

0.0340 (0.057)

0.474 (0.046)

0.0186 (0.92)

0.0888 (8.09e-30)

-6.99e-03 (0.71)

  1. *Sample quality was indicated by the log10-transfromed number of CpGs with a detection p value over 0.01