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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