Skip to main content

Table 3 Genes with the strongest connectivity to the modules identified by WGCNA

From: Transcriptome analysis of normal-appearing white matter reveals cortisol- and disease-associated gene expression profiles in multiple sclerosis

 

Lightgreen module

 

Pink module

 

Tan module

 

Yellow module

Gene

Corr

P

 

Gene

Corr

P

 

Gene

Corr

P

 

Gene

Corr

P

1

ASPM

0.97

4.2E-15

1

CHORDC1

0.96

2.7E-14

1

MAGED1

0.92

4.8E-11

1

PPP2R3A

0.96

5.7E-14

2

CST7

0.95

1.7E-13

2

CACYBP

0.95

2.9E-13

2

SARS2

0.90

6.5E-10

2

CNP

0.95

1.8E-13

3

DEFA4

0.95

1.1E-12

3

DNAJA4

0.94

1.4E-12

3

PRMT7

0.90

1.2E-09

3

VPS4B

0.95

4.0E-13

4

VSTM1

0.94

1.2E-12

4

HSPH1

0.94

1.6E-12

4

NAT6

0.88

6.4E-09

4

TMEM209

0.95

5.0E-13

5

BPI

0.94

4.2E-12

5

HSPA4L

0.94

1.9E-12

5

NFU1

0.87

1.1E-08

5

ITCH

0.94

1.8E-12

6

DLGAP5

0.93

1.2E-11

6

DNAJB4

0.94

2.1E-12

6

COG1

0.87

1.2E-08

6

ENDOD1

0.94

2.0E-12

7

S100P

0.93

1.6E-11

7

P4HA2

0.94

3.2E-12

7

THNSL1

0.87

1.5E-08

7

PCBP4

0.94

3.1E-12

8

WISP3

0.93

1.7E-11

8

HSPD1

0.93

8.1E-12

8

RTF1

0.87

2.1E-08

8

ATPGD1

0.94

5.6E-12

9

NLRP12

0.93

2.1E-11

9

HSPE1

0.93

9.5E-12

9

STOML1

0.87

2.2E-08

9

CUEDC1

0.94

6.1E-12

10

RGL4

0.93

3.0E-11

10

ACRC

0.93

1.1E-11

10

NIT2

0.87

2.3E-08

10

CA14

0.94

6.2E-12

  1. Corr correlation to the principal component of the module, which represents the connectivity of each gene to the module; P = p-value