Table 1 Significant WGCNA gene module differential expression analysis for asthma

From: Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations

Module label

Hub gene

log2 FC

Adjusted p-value

# genes in module

# genes with DEG q < 0.05

Most signifiicant

WGCNA

STRING

DEG in module

M6

CEACAM5

MET

0.32

9.62E−16

71

26

HS3ST4

M2

CPA3

POSTN

0.54

2.39E−14

81

45

PTCHD4

M5

DKK3

FN1

−0.28

7.63E−09

72

34

FN1

M20

C16orf89

RIMS1,PPP1R9A,NR2F1

−0.36

3.41E−08

33

14

PPP1R9A

M23

ACVR1B

CCND1

−0.16

4.56E−08

23

5

SUSD4

M15

SF3A1

SMARCA2

−0.06

1.61E−05

44

18

SPTBN1

M1

PDCD10

EEF1E1

0.07

3.74E−05

88

21

ETAA1

M4

IFT172

GLRB,NCALD,TP53BP1,PTPRT

−0.13

3.74E−05

77

17

SLC13A3

M3

ENSG00000279476

BCAN,PLAGL1,UGT1A1,PRRT2,GARNL3,CYP2A7

0.16

1.24E−04

78

15

ENSG00000273599

M21

POLD2

POLD2,UBB

−0.09

2.17E−04

31

11

GNAS

M9

DNAH10

DNAH5

−0.13

2.46E−04

58

15

DNAH5

M24

RPL7A

RPL23A

−0.08

2.29E−03

21

5

MT3

M14

SARS1

VCP

−0.05

2.58E−03

44

11

POFUT1

M11

ST13

HSP90AB1

−0.04

4.15E−03

48

9

FAM169A

M8

PRKCSH

ERBB2

−0.05

6.25E−03

62

18

VPS18

M10

ASPM

BIRC5,CCNA2

0.10

2.74E−02

48

11

PARPBP

  1. Genes with q < 0.15 in full group DEG analysis for asthma (see Supplementary Table S1) were grouped into 24 modules using WGCNA. 24 modules were tested for association with asthma, and the 16 identified with q < 0.05 are shown in this table. Bold font indicates gene used to label the module in Fig. 2. Analysis was performed using a moderated t-statistic (two-sided).
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