Skip to main content

Table 2 Multi-variable linear regression coefficients of clinical features with DNAm age residuals for NN, PN, and PP

From: DNA methylation age is not affected in psoriatic skin tissue

Statistics

Estimate

Std. error

t value

Pr (>|t|)

1) Model for NN: age acceleration residual~age + BMI + gender + smoking status

 Intercept*

− 0.764

7.678

− 0.100

9.21E-01

 Age

− 0.038

0.068

− 0.556

5.80E-01

 BMI

0.200

0.352

0.569

5.72E-01

 Gender (female vs. male)

− 0.830

1.863

− 0.446

6.58E-01

 Smoking status (current vs. former)

−1.789

3.067

− 0.583

5.62E-01

 Smoking status (current vs. never)

− 0.803

2.123

− 0.378

7.07E-01

2) Model for PN: age acceleration residual~age + BMI + gender + smoking status

 Intercept

− 8.309

4.561

− 1.822

7.70E-02

 Age

0.138

0.034

4.074

2.52E-04

 BMI

0.125

0.206

0.607

5.48E-01

 Gender (female vs. male)

− 1.688

0.975

− 1.732

9.21E-02

 Smoking status (current vs. former)

− 2.745

1.865

−1.472

1.50E-01

 Smoking status (current vs. never)

0.536

1.222

0.438

6.64E-01

3) Model for PP: age acceleration residual~age + BMI + gender + smoking status + PASI

 Intercept

6.266

6.644

0.943

3.47E-01

 Age

− 0.032

0.053

− 0.605

5.47E-01

 BMI

− 0.196

0.286

− 0.685

4.95E-01

 Gender (female vs. male)

− 1.173

1.656

− 0.708

4.80E-01

 PASI scores

− 0.255

0.198

− 1.289

2.00E-01

 Smoking status (current vs. former)

3.780

2.567

1.472

1.43E-01

 Smoking status (current vs. never)

0.573

2.019

0.284

7.77E-01

  1. *Intercept is the constant term of a regression model. Here, it denotes the corresponding value of age acceleration residual when all the independent variables are 0