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Table 2 Multiple linear regression models explaining variation of transcriptional noise in different tissues

From: DNA methylation and transcriptional noise

Predictors

Estimate of β

t value

Significance

VIF

Brain

    

Intercept

1.47

19.57

<0.0001

 

Expression abundance

−0.59

−180.78

<0.0001

1.12

Gene body methylation1

−0.19

−3.16

0.0016

2.34

TE methylation

−0.23

−5.78

<0.0001

1.44

Promoter methylation

0.18

4.54

<0.0001

1.28

Log (gene length)a

0.015

1.54

0.12

2.10

Adjusted R2

   

0.87

Blood

    

Intercept

1.87

28.65

<0.0001

 

Expression abundance

−0.55

−236.94

<0.0001

1.11

Gene body methylation1

−0.28

−4.95

<0.0001

1.93

TE methylation

−0.22

−5.77

<0.0001

1.43

Promoter methylation

0.27

6.88

<0.0001

1.28

Log (gene length)a

−0.025

−3.19

0.0014

1.81

Adjusted R2

   

0.92

  1. aExclusive of transposable elements.
  2. TE, transposable element; VIF, variance inflation factor.