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Table 2 Summary of KEGG process gene set enrichment analysis

From: Identification of key candidate genes and molecular pathways in white fat browning: an anti-obesity drug discovery based on computational biology

Progress Genes in query set Total genes in genome Corrected hypergeometric P value Genes
PPAR signaling pathway 10 70 1.27872e−14 CYP7A1, FADS2, FABP4, PPARA, ADIPOQ, UCP1, LPL, RXRA, PPARG, APOC3
Adipocytokine signaling pathway 9 67 3.87352e−13 IRS1, SLC2A4, PPARA, ADIPOQ, NFKB1, LEP, PRKAA2, RXRA, PPARGC1A
Pathways in cancer 11 324 1.10046e−09 IL6, MMP2, IGF1R, FGF19, NFKB1, PIK3R1, TGFB1, CTNNB1, CREBBP, RXRA, PPARG
Insulin signaling pathway 8 133 4.39226e−09 IRS1, LIPE, SLC2A4, SREBF1, PIK3R1, PRKAA2, INS, PPARGC1A
Prostate cancer 6 88 1.89023e−07 IGF1R, NFKB1, PIK3R1, INS, CTNNB1, CREBBP
Type II diabetes mellitus 5 46 2.15133e−07 IRS1, SLC2A4, ADIPOQ, PIK3R1, INS
  1. Among the most significantly enriched pathway annotations above the cutoff, those most relevant to brown-fat-like development based on the available literature and research were selected. The analysis of enriched pathway annotations resulted in six pathways containing a total of 28 unique genes