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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.