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Cluster 595

5 diseases · 10 shared-gene connections
5 Diseases
3 Unique genes
0.400 Avg. similarity score
Cerebral arteriopathy with subcortical infarcts and leukoencephalopathy Most-connected disease (4 links)
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Disease Pinned (dragged)
Node size = connections within this cluster · edge thickness = similarity strength · hover an edge for its details · click a node to select it and show its pairs below (double-click or Ctrl/⌘-click opens the disease page) · drag a node to pin it in place · scroll/pinch to zoom.

Member diseases (most connected first ‐ the cluster's core)

Top shared genes (genes linked to 2+ member diseases)

Gene ⇵ Member diseases ⇵ Linked diseases
NOTCH3 5 / 5 Cerebral arteriopathy with subcortical infarcts and leukoencephalopathy, Cerebral arteriopathy, autosomal recessive, with subcortical infarcts and leukoencephalopathy 1, Inherited thrombocytopenia, Lateral meningocele syndrome and 1 more
What do these columns mean?
Connections in cluster
How many other members this disease has a shared-gene link to (the node size in the network above). The most-connected diseases are the cluster's core.
Significant partners
How many of those links are statistically significant (FDR q < 0.05).
Curated genes
Distinct curated genes linked to that disease in GeDiPNet.
Member diseases (Top shared genes)
How many of this cluster's diseases are linked to the gene, out of the cluster's total. Genes shared by many members are the most direct explanation of why they group together.
Overlap genes (x / y)
x = genes shared between this cluster and the pathway/GO term; y = that pathway/GO term's total gene count. A higher x relative to y (and to the cluster's own size) means a tighter biological match.
Cluster gene count
Total distinct genes across every disease in this cluster -- the "n" used in the significance test below.
Fold enrichment
Observed overlap divided by the overlap expected by chance, given the cluster's gene count, the pathway/term's size and the gene universe tested. 5× means five times more shared genes than random. Tells strong hits apart when q-values are all vanishingly small.
P-value / FDR q-value
Is this pathway/GO term's overlap with the cluster more than chance? Upper-tail hypergeometric test, Benjamini-Hochberg corrected across every tested pathway/term (prefer the q-value -- it accounts for testing many at once).
Shared genes (Pairs within this cluster)
Number of curated genes the two diseases in that row have in common.
Similarity score (Pairs within this cluster)
Jaccard-based gene overlap between the two specific diseases in that row -- same metric as the main Shared-Gene Disease Pairs page.

Enriched Pathways (why this cluster is grouped, biologically)

Pathway ⇵ Source ⇵ Overlap genes ⇵ Fold enrichment ⇵ P-value ⇵ FDR q-value ⇵
Defective LFNG causes SCDO3 Reactome 1 / 5 801× 1.25e-3 1.34e-2 ✓ sig.
Pre-NOTCH Processing in Golgi Reactome 1 / 6 667× 1.50e-3 1.54e-2 ✓ sig.
Noncanonical activation of NOTCH3 Reactome 1 / 8 500× 2.00e-3 1.90e-2 ✓ sig.
NOTCH3 Intracellular Domain Regulates Transcription Reactome 1 / 18 222× 4.49e-3 3.39e-2 ✓ sig.
NOTCH3 Activation and Transmission of Signal to the Nucleus Reactome 1 / 19 211× 4.74e-3 3.52e-2 ✓ sig.
Notch-HLH transcription pathway Reactome 1 / 28 143× 6.98e-3 4.53e-2 ✓ sig.
Pre-NOTCH Transcription and Translation Reactome 1 / 31 129× 7.72e-3 4.84e-2 ✓ sig.
Notch signaling pathway KEGG 1 / 62 64.6× 1.54e-2 7.38e-2
Degradation of the extracellular matrix Reactome 1 / 70 57.2× 1.74e-2 7.89e-2
Th1 and Th2 cell differentiation KEGG 1 / 93 43.0× 2.31e-2 9.30e-2
Endocrine resistance KEGG 1 / 99 40.4× 2.45e-2 9.64e-2
Thyroid hormone signaling pathway KEGG 1 / 122 32.8× 3.02e-2 1.09e-1
Apelin signaling pathway KEGG 1 / 140 28.6× 3.46e-2 1.17e-1
Breast cancer KEGG 1 / 148 27.0× 3.65e-2 1.21e-1
MicroRNAs in cancer KEGG 1 / 311 12.9× 7.57e-2 1.84e-1

Enriched GO Terms (Biological Process, a second line of biological evidence)

GO term ⇵ GO ID ⇵ Overlap genes ⇵ Fold enrichment ⇵ P-value ⇵ FDR q-value ⇵
glomerular capillary formation GO:0072104 1 / 3 2,076× 4.82e-4 9.24e-3 ✓ sig.
chorionic trophoblast cell differentiation GO:0060718 1 / 6 1,038× 9.63e-4 1.42e-2 ✓ sig.
neuroblast differentiation GO:0014016 1 / 7 890× 1.12e-3 1.55e-2 ✓ sig.
retina homeostasis GO:0001895 1 / 15 415× 2.41e-3 2.32e-2 ✓ sig.
artery morphogenesis GO:0048844 1 / 27 231× 4.33e-3 3.11e-2 ✓ sig.
regulation of developmental process GO:0050793 1 / 32 195× 5.13e-3 3.37e-2 ✓ sig.
neuron fate commitment GO:0048663 1 / 33 189× 5.29e-3 3.43e-2 ✓ sig.
programmed cell death GO:0012501 1 / 42 148× 6.73e-3 3.84e-2 ✓ sig.
placenta development GO:0001890 1 / 48 130× 7.69e-3 4.09e-2 ✓ sig.
positive regulation of smooth muscle cell proliferation GO:0048661 1 / 52 120× 8.33e-3 4.25e-2 ✓ sig.
positive regulation of miRNA transcription GO:1902895 1 / 56 111× 8.96e-3 4.41e-2 ✓ sig.
negative regulation of neuron differentiation GO:0045665 1 / 63 98.9× 1.01e-2 4.67e-2 ✓ sig.
negative regulation of cell differentiation GO:0045596 1 / 75 83.1× 1.20e-2 5.06e-2
negative regulation of BMP signaling pathway GO:0030514 1 / 75 83.1× 1.20e-2 5.06e-2
forebrain development GO:0030900 1 / 76 82.0× 1.22e-2 5.10e-2

Pairs within this cluster, by significance