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Table 1 Age- and sex-specific effects significantly contribute to DNAm aging in schizophrenia

From: Meta-analysis of epigenetic aging in schizophrenia reveals multifaceted relationships with age, sex, illness duration, and polygenic risk

 

Hannum Δage

Horvath Δage

Levine Δage

Model variables

Comparison

R2 (%)

P-value

R2 (%)

P-value

R2 (%)

P-value

Model 0:

baseline

–

6.9

–

3.6

–

2.1

–

Model 1:

 + status

Model 0 vs. 1

6.9

1.00

4.0

9.8E−03

3.2

6.7E−06

Model 2:

 + status*age.cont

Model 1 vs. 2

7.1

0.34

4.3

0.13

3.7

5.3E−03

Model 3:

 + status*age.groups

Model 1 vs. 3

7.4

0.24

5.5

2.0E−05

4.0

0.02

Model 4:

 + status*age.groups*sex

Model 3 vs. 4

7.7

1.00

5.9

0.34

4.7

0.02

  1. Shown are the contributions of interaction effects between disease status and age and sex on Δage. The baseline model corresponds to Δage ~ dataset + cohort + platform + age.continuous + sex. For other models, the variable(s) in addition to the baseline variables are shown with the corresponding variance explained (R2) in Δage. Interaction terms with chronological age are modeled as a continuous variable (age.cont) or a categorical variable (age.groups). The latter uses previously defined decades. Model comparison is performed to assess whether the contribution of an interaction term is significant compared to a model without that term. The Chi-square test is used to test two models with corresponding p-value presented. The results of these analysis are shown for both the Horvath and Levine clock. P-values are corrected for the number of tests performed (3 clocks × 4 comparisons = 12)
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Clinical Epigenetics

ISSN: 1868-7083

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