Disease Clusters?
Groups of diseases that share a large number of curated genes with each other, computed via label propagation over the shared-gene similarity graph. See also Shared-Gene Disease Pairs for pairwise comparisons.
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Cluster 65
14
Diseases
35
Unique genes
0.235
Avg. similarity score
Capillary malformation
Most-connected disease (6 links)
Disease
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Node size = connections within this cluster · edge thickness = similarity strength · hover an edge for its details ·
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Capillary malformation
Capillary malformation-arteriovenous malformation
Klippel-trenaunay syndrome
Anastomosing haemangioma
Congenital hemangioma
Hereditary hemorrhagic telangiectasia
Parkes weber syndrome
Port-wine stain
Cutis marmorata telangiectatica congenita
Arteriovenous malformations
Congenital lipomatous overgrowth, vascular malformations, and epidermal nevi
Hydrops fetalis
Cerebrofacial arteriovenous metameric syndrome
telangiectasia, hereditary hemorrhagic, type 5
Member diseases (most connected first ‐ the cluster's core)
| Disease ⇵ | Connections in cluster ⇵ | Significant partners ⇵ | Curated genes ⇵ |
|---|---|---|---|
| Capillary malformation | 6 | 6 | 3 |
| Capillary malformation-arteriovenous malformation | 6 | 6 | 8 |
| Klippel-trenaunay syndrome | 6 | 6 | 7 |
| Anastomosing haemangioma | 5 | 5 | 3 |
| Congenital hemangioma | 5 | 5 | 2 |
| Hereditary hemorrhagic telangiectasia | 5 | 5 | 7 |
| Parkes weber syndrome | 5 | 5 | 3 |
| Port-wine stain | 5 | 5 | 2 |
| Cutis marmorata telangiectatica congenita | 4 | 4 | 2 |
| Arteriovenous malformations | 3 | 3 | 2 |
| Congenital lipomatous overgrowth, vascular malformations, and epidermal nevi | 3 | 3 | 3 |
| Hydrops fetalis | 3 | 3 | 16 |
| Cerebrofacial arteriovenous metameric syndrome | 1 | 1 | 1 |
| telangiectasia, hereditary hemorrhagic, type 5 | 1 | 1 | 1 |
Top shared genes (genes linked to 2+ member diseases)
| Gene ⇵ | Member diseases ⇵ | Linked diseases |
|---|---|---|
| RASA1 | 7 / 14 | Arteriovenous malformations, Capillary malformation-arteriovenous malformation, Hereditary hemorrhagic telangiectasia, Hydrops fetalis and 3 more |
| GNAQ | 6 / 14 | Anastomosing haemangioma, Capillary malformation, Capillary malformation-arteriovenous malformation, Congenital hemangioma and 2 more |
| CCNH | 5 / 14 | Capillary malformation-arteriovenous malformation, Hereditary hemorrhagic telangiectasia, Hydrops fetalis, Klippel-trenaunay syndrome and 1 more |
| GNA11 | 5 / 14 | Anastomosing haemangioma, Capillary malformation, Congenital hemangioma, Congenital lipomatous overgrowth, vascular malformations, and epidermal nevi and 1 more |
| PIK3CA | 4 / 14 | Capillary malformation, Capillary malformation-arteriovenous malformation, Congenital lipomatous overgrowth, vascular malformations, and epidermal nevi, Klippel-trenaunay syndrome |
| GDF2 | 2 / 14 | Hereditary hemorrhagic telangiectasia, telangiectasia, hereditary hemorrhagic, type 5 |
| GNA14 | 2 / 14 | Anastomosing haemangioma, Cerebrofacial arteriovenous metameric syndrome |
| KRAS | 2 / 14 | Arteriovenous malformations, Capillary malformation-arteriovenous malformation |
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 ⇵ |
|---|---|---|---|---|---|
| GnRH secretion | KEGG | 6 / 65 | 31.7× | 2.85e-8 | 2.20e-6 ✓ sig. |
| Long-term depression | KEGG | 5 / 60 | 28.6× | 7.60e-7 | 3.84e-5 ✓ sig. |
| Cholinergic synapse | KEGG | 6 / 115 | 17.9× | 8.75e-7 | 4.34e-5 ✓ sig. |
| Growth hormone synthesis, secretion and action | KEGG | 6 / 122 | 16.9× | 1.24e-6 | 5.89e-5 ✓ sig. |
| Fatty Acids bound to GPR40 (FFAR1) regulate insulin secretion | Reactome | 3 / 8 | 129× | 1.26e-6 | 5.96e-5 ✓ sig. |
| Downstream signal transduction | Reactome | 4 / 29 | 47.3× | 1.36e-6 | 6.39e-5 ✓ sig. |
| Acetylcholine regulates insulin secretion | Reactome | 3 / 9 | 114× | 1.88e-6 | 8.34e-5 ✓ sig. |
| Signaling by FGFR1 in disease | Reactome | 4 / 33 | 41.6× | 2.33e-6 | 1.00e-4 ✓ sig. |
| Pancreatic cancer | KEGG | 5 / 77 | 22.3× | 2.65e-6 | 1.12e-4 ✓ sig. |
| Chronic myeloid leukemia | KEGG | 5 / 77 | 22.3× | 2.65e-6 | 1.12e-4 ✓ sig. |
| Signaling by FGFR3 fusions in cancer | Reactome | 3 / 10 | 103× | 2.68e-6 | 1.13e-4 ✓ sig. |
| Apelin signaling pathway | KEGG | 6 / 140 | 14.7× | 2.77e-6 | 1.16e-4 ✓ sig. |
| Signaling pathways regulating pluripotency of stem cells | KEGG | 6 / 144 | 14.3× | 3.26e-6 | 1.33e-4 ✓ sig. |
| Signaling by FGFR4 in disease | Reactome | 3 / 11 | 93.6× | 3.68e-6 | 1.48e-4 ✓ sig. |
| Colorectal cancer | KEGG | 5 / 87 | 19.7× | 4.86e-6 | 1.86e-4 ✓ sig. |
Enriched GO Terms (Biological Process, a second line of biological evidence)
| GO term ⇵ | GO ID ⇵ | Overlap genes ⇵ | Fold enrichment ⇵ | P-value ⇵ | FDR q-value ⇵ |
|---|---|---|---|---|---|
| angiogenesis | GO:0001525 | 8 / 284 | 15.0× | 4.25e-8 | 5.91e-6 ✓ sig. |
| BMP signaling pathway | GO:0030509 | 5 / 88 | 30.3× | 6.00e-7 | 5.45e-5 ✓ sig. |
| positive regulation of SMAD protein signal transduction | GO:0060391 | 4 / 42 | 50.8× | 1.10e-6 | 8.93e-5 ✓ sig. |
| vasculogenesis | GO:0001570 | 4 / 63 | 33.9× | 5.68e-6 | 3.32e-4 ✓ sig. |
| activin receptor signaling pathway | GO:0032924 | 3 / 22 | 72.8× | 9.05e-6 | 4.83e-4 ✓ sig. |
| endocardial cushion to mesenchymal transition | GO:0090500 | 2 / 3 | 356× | 1.02e-5 | 5.30e-4 ✓ sig. |
| positive regulation of angiogenesis | GO:0045766 | 5 / 159 | 16.8× | 1.11e-5 | 5.63e-4 ✓ sig. |
| cellular response to BMP stimulus | GO:0071773 | 3 / 33 | 48.5× | 3.16e-5 | 1.27e-3 ✓ sig. |
| insulin-like growth factor receptor signaling pathway | GO:0048009 | 3 / 33 | 48.5× | 3.16e-5 | 1.27e-3 ✓ sig. |
| blood vessel morphogenesis | GO:0048514 | 3 / 34 | 47.1× | 3.46e-5 | 1.36e-3 ✓ sig. |
| positive regulation of gene expression | GO:0010628 | 7 / 504 | 7.4× | 3.48e-5 | 1.37e-3 ✓ sig. |
| negative regulation of gene expression | GO:0010629 | 6 / 339 | 9.4× | 3.55e-5 | 1.39e-3 ✓ sig. |
| negative regulation of endothelial cell proliferation | GO:0001937 | 3 / 39 | 41.1× | 5.25e-5 | 1.87e-3 ✓ sig. |
| positive regulation of BMP signaling pathway | GO:0030513 | 3 / 40 | 40.0× | 5.67e-5 | 1.97e-3 ✓ sig. |
| venous blood vessel morphogenesis | GO:0048845 | 2 / 7 | 153× | 7.11e-5 | 2.35e-3 ✓ sig. |