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Table 3 Functional enrichment analysis of top ranked SNPs

From: Identification of potential mutations and genomic alterations in the epithelial and spindle cell components of biphasic synovial sarcomas using a human exome SNP chip

Different riched methods Related pathways of riched functional analysis P value Related genes of riched functional analysis
Wikipathways pathway Inflammatory Response Pathway 0.0013 IL4R, LAMC2, LAMA5, COL1A1
  Focal Adhesion 0.0029 SPP1, COL1A1, COL5A1, EGF, TNXB, ROCK1, LAMC2, PIK3CG, LAMA5
  TGF Beta Signaling Pathway 0.0097 EP300, SPP1, JAK1, EGF
KEGG pathway ECM-receptor interaction 0.0004 GP9, SPP1, LAMA5, LAMC2, COL1A1, COL5A1, TNXB
  Focal adhesion 0.0015 SPP1, FLT4, COL1A1, COL5A1, EGF, TNXB, ROCK1, LAMC2, LAMA5, PIK3CG
  Phenylalanine metabolism 0.0044 IL4I1, AOC2, ALDH3B2
  Jak-STAT signaling pathway 0.0063 IFNE, EP300, IL4R, IL11RA, JAK1, PIK3CG, CBLB
  Hematopoietic cell lineage 0.0085 CD1E, GP9, IL4R, IL11RA, CD22
  Inositol phosphate metabolism 0.0111 PLCB4, PIK3C2B, PIK3CG, PIK3C2A
Pathway Commons pathway Intrinsic Pathway 0.0015 GP9, C1QBP, A2M, F13A1
  Formation of Fibrin Clot (Clotting Cascade)- 0.0021 GP9, C1QBP, A2M, F13A1
  Hemostasis 0.0054 TTN, OL1A1, A2M, EGF, F13A1, GP9, MAG, C1QBP
  Platelet Activation 0.0054 GP9, COL1A1, A2M, EGF, F13A1
  Exocytosis of Alpha granule 0.0050 GP9, A2M, EGF, F13A1
  Platelet degranulation 0.0059 GP9, A2M, EGF, F13A1
  Terminal pathway of complement 0.0037 C8G, C7
  vWF interaction with collagen 0.0037 GP9, COL1A1