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. Author manuscript; available in PMC: 2012 Jan 1.
Published in final edited form as: Mol Psychiatry. 2010 May 18;16(7):751–762. doi: 10.1038/mp.2010.52

Table 3.

Gene set enrichment analysis:

A. BioCarta pathways showing gene enrichment.
BioCarta pathway name Size (genes) Enrichment Score p-val Change direction
VEGFPATHWAY 25 0.657942 0.008163 Decreased
CDMACPATHWAY 15 0.699933 0.02268 Decreased
INTEGRINPATHWAY 33 0.549887 0.03527 Decreased
ECMPATHWAY 20 0.629207 0.038855 Decreased
PROTEASOMEPATHWAY 16 0.760643 0.041929 Decreased
ATMPATHWAY 18 0.529419 0.04918 Decreased
MCALPAINPATHWAY 22 0.62423 0.049587 Decreased
CYTOKINEPATHWAY 18 0.79414 0.006211 Increased
B. GSEA cytokine pathway constituents (listed by Running ES rank).
Gene Symbol Gene Name Rank Metric Scorea Running ESb Core Enrichment
IL18 Interleukin 18 (interferon-gamma-inducing factor) −0.031 −0.7628 Yes
IL5 Interleukin 5 (colony-stimulating factor, eosinophil) −0.061 −0.7613 Yes
LTA Lymphotoxin alpha (TNF superfamily, member 1; TNFβ) −0.075 −0.7345 Yes
IFNG Interferon, gamma −0.098 −0.7007 Yes
IL15 Interleukin 15 −0.106 −0.6492 Yes
IL12A Interleukin 12a (natural killer cell stimulatory factor 1, cytotoxic lymphocyte maturation factor 1, p35) −0.113 −0.5942 Yes
IL1A Interleukin 1, alpha −0.114 −0.5334 Yes
IL10 Interleukin 10 −0.131 −0.4741 Yes
IL8 Interleukin 8 −0.137 −0.4033 Yes
IL13 Interleukin 13 −0.167 −0.3277 Yes
IL2 Interleukin 2 −0.208 −0.2289 Yes
IL9 Interleukin 9 −0.228 −0.1106 Yes
IL3 Interleukin 3 (colony-stimulating factor, multiple) −0.245 0.0182 Yes
IL6 Interleukin 6 0.074 −0.6347 No
IL4 Interleukin 4 0.036 −0.6943 No
IL12B Interleukin 12b (natural killer cell stimulatory 0.016 −0.7183 No
factor 2, cytotoxic lymphocyte maturation factor 2, p40)
IL16 Interleukin 16 (lymphocyte chemoattractant factor) 0.007 −0.7297 No
TNF Tumor necrosis factor (TNF super family, member 2 [TNFα]) −0.011 −0.7515 No
a

Rank metric: GSEA uses the signal-to-noise metric to rank the genes (for details, see “Metrics for Ranking Genes” at http://www.broadinstitute.org/gsea/doc/GSEAUserGuideFrame.html?Run_GSEA_Page). The larger the signal-to-noise ratio, the larger the differences of the means (relative to the standard deviations). A high signal-to-noise metric indicates greater separation between phenotypes.

b

Running ES: Running enrichment score, which reflects the degree to which a gene set is overrepresented at the top or bottom of a ranked list of genes (for details, see “GSEA Statistics” at http://www.broadinstitute.org/gsea/doc/GSEAUserGuideFrame.html?Run_GSEA_Page).