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Table 5 Pathways enrichment analysis using Reactome and KEGG databases

From: Consensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis

Pathway Name (KEGG)

% Genes

p-value

 Cytokine-cytokine receptor interaction

16,0337553

1,22E-26

 Complement and coagulation cascades

7,59,493,671

1,64E-20

 Graft-versus-host disease

4,85,232,068

1,33E-13

 Allograft rejection

4,21,940,928

1,28E-10

 Focal adhesion

9,28,270,042

4,28E-09

 Type I diabetes mellitus

4,21,940,928

4,58E-09

 Antigen processing and presentation

5,69,620,253

1,25E-08

 Hematopoietic cell lineage

5,48,523,207

1,95E-07

 Jak-STAT signaling pathway

7,17,299,578

1,91E-06

 Renin-angiotensin system

2,32,067,511

2,63E-05

 TGF-beta signaling pathway

4,64,135,021

2,13E-04

 Adipocytokine signaling pathway

4,00843882

2,91E-04

 Endocytosis

6,96,202,532

5,37E-04

 Natural killer cell mediated cytotoxicity

5,69,620,253

6,70E-04

Pathway Name (Reactome)

% Genes

FDR

 Hemostasis

15,8,227,848

7,21E-29

 Signaling in Immune system

12,2,362,869

7,53E-11

 Signaling by PDGF

5,06329114

1,73E-08

 Signaling by VEGF

2,10,970,464

2,00E-06

 Integrin cell surface interactions

4,85,232,068

2,05E-05