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Table 6 Methylation/transcription correlations of genes involved in drug metabolism in NAFLD

From: A targeted analysis reveals relevant shifts in the methylation and transcription of genes responsible for bile acid homeostasis and drug metabolism in non-alcoholic fatty liver disease

   

Pearson correlation analysesc

CpG-sites

Robust linear regression (n = 50)b

SS & NASH (n = 20)

Controls (n = 30)

Gene

Total

sign.a

p (binomial)

Coef.

p

Coef.

p

Coef.

p

Hypermethylated targets

ABCC2

5

3

1.16E-03

-

ns

-

ns

-

ns

CYP1A1

17

6

1.20E-04

-0.42

3.83E-02 c

-

ns

-

ns

CYP1A2

3

2

7.25E-03

-0.42

3.47E-03

-

ns

-

ns

CYP2B6

8

2

ns

0.41

1.00E-03

-

ns

0.43

1.64E-02

CYP2C19

6

3

2.23E-03

-0.44

4.50E-05

-

ns

-0.44

1.43E-02

CYP2C9

2

2

2.50E-03

-

ns

-

ns

-

ns

CYP2D6

3

2

7.25E-03

-

ns

-

ns

-

ns

CYP2E1

7

6

1.05E-07

-

ns

-

ns

-

ns

HNF1A

8

8

3.91E-11

-

ns

-

ns

-

ns

NR2A1

18

15

2.16E-17

-

ns

-

ns

-

ns

NAT2

2

1

ns

-0.26

1.31E-02

-

ns

-

ns

NR1I3

4

3

4.81E-04

-

ns

-

ns

-

ns

SLC22A1

3

3

1.25E-04

-

ns

-

ns

-

ns

SLC22A7

2

2

2.50E-03

-

ns

-

ns

-

ns

SLC47A1

15

6

5.28E-05

-0.34

8.43E-05

-

ns

-0.41

2.31E-02

SLCO2B1

9

5

3.32E-05

-0.38

1.41E-03

-

ns

-

ns

SULT1A1

7

3

3.76E-03

-0.42

1.31E-04

-

ns

-0.54

2.15E-03

UGT1A4

5

2

2.26E-02

-0.63

4.52E-02

-

ns

-

ns

UGT2B7

2

1

ns

-0.53

4.01E-03

-

ns

-0.43

1.76E-02

Hypomethylated targets

CYP3A4

3

2

7.25E-03

-

ns

-

ns

-

ns

GSTP1

10

1

ns

-0.36

2.43E-02

-

ns

-

ns

NR1I2

5

2

2.26E-02

-

ns

-

ns

-

ns

NR2B1

9

1

ns

-

ns

-

ns

0.42

2.09E-02

NR3A1

47

20

2.50E-14

-

ns

-

ns

-

ns

SLC22A2

10

3

1.15E-02

-

ns

-

ns

-

ns

SLCO2B1

9

1

ns

0.26

7.07E-03

-

ns

0.47

8.22E-03

UGT1A1

2

1

ns

-

ns

-

ns

-0.36

4.90E-02

UGT1A4

5

2

2.26E-02

-

ns

-

ns

-

ns

  1. The Table lists genes with NAFLD dependent significant changes in the overall CpG site methylation within the TSS1500 interval after binomial testing and its association to transcriptional changes. Genes showing significant changes in average methylation with significant association to transcription are shown in bold
  2. - no coefficient given for non significant results, n number, ns not significant, coef coefficient, sign. significant
  3. aNumber of significantly hyper- or hypomethylated CpG sites. Genes in the list appear according to their alphabetical order
  4. bRegression analyses investigating the association between average methylation in the TSS1500 interval and strength of transcription in the EC cohort. The analyses are taking the strength of fibrosis into account
  5. cPearson’s correlation analyses correlating average methylation state in the TSS1500 interval and strength of transcription in NAFLD and non-NAFLD patients of the EC cohort