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Table 3 Pathway information for clusters showing evidence of experiment-wide significant and suggestive linkage

From: Exploration of non-hierarchical classification methods combined with linkage analysis to identify loci influencing clusters of co-regulated transcripts

Cluster Number of genes in cluster Pathway information using KEGG or GenMAPPa Pathway information using the Ingenuity softwareb
67 2 Glutathione metabolism c, d Glutathione metabolism
Xenobiotic metabolism signaling Metabolism of xenobiotics by cytochrome P450
82 83 Smooth muscle contraction c
Circadian exercise c
Fatty acid synthesisc
Valine, leucine, and isoleucine degradation c
Blood group glycolipid biosynthesis c
Purine metabolism
Electron transport chain
Oxidative phosphorylation
G protein signaling
mRNA processing reactome
Valine, leucine, and isoleucine degradation
Oxidative phosphorylation
Purine metabolism
Xenobiotic metabolism signaling
G-protein coupled receptor signaling
cAMP-mediated signaling
PPAR signaling
B Cell receptor signaling
Blood group glycolipid biosynthesis e
Apoptosis e
93 48 Calcium signaling c
Cell cycle c
Nucleoside G protein coupling receptor c
Cell cycle
Protein ubiquitination
Intergrin signaling
Actin cytoskeleton signaling
B cell receptor signaling
Leukocyte extravasation signaling
76 18 Apoptosis
Inflammatory responsec
IL-10 signaling
  1. aPathway information using KEGG and GenMAPP were provided in the Problem 1 data set. Pathways with more than one gene are given with the exception of the cluster 76 (inflammatory pathway).
  2. bPathways with more than one gene are given, except for cluster 82, which has 21 pathways with two genes. Information on pathways with ≥ 3 genes are given (with the exception of the blood group glycolipid biosynthesis and apoptosis pathways).
  3. cStatistically significantly associated with clusters.
  4. dPathways common to both approaches are given in bold font.
  5. eThese pathways represent two genes and have been included to show overlap between resources.