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 130
10
Diseases
86
Unique genes
0.185
Avg. similarity score
Cerebellar diseases
Most-connected disease (5 links)
Disease
Searched: dyskeratosis congenita, autosomal dominant 3
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dyskeratosis congenita, autosomal dominant 3
Cerebellar diseases
Revesz debuse syndrome
Revesz syndrome
Thyroid carcinoma
Bone marrow diseases
Differentiated thyroid carcinoma
Hurthle cell thyroid cancer
Thyroid cancer
Mowat-wilson syndrome
Member diseases (most connected first ‐ the cluster's core)
| Disease ⇵ | Connections in cluster ⇵ | Significant partners ⇵ | Curated genes ⇵ |
|---|---|---|---|
| Cerebellar diseases | 5 | 5 | 7 |
| Revesz debuse syndrome | 5 | 5 | 1 |
| Revesz syndrome | 5 | 5 | 1 |
| Thyroid carcinoma | 5 | 5 | 9 |
| Bone marrow diseases | 4 | 4 | 4 |
| dyskeratosis congenita, autosomal dominant 3 | 4 | 4 | 1 |
| Differentiated thyroid carcinoma | 3 | 3 | 49 |
| Hurthle cell thyroid cancer | 2 | 2 | 1 |
| Thyroid cancer | 2 | 2 | 34 |
| Mowat-wilson syndrome | 1 | 1 | 1 |
Top shared genes (genes linked to 2+ member diseases)
| Gene ⇵ | Member diseases ⇵ | Linked diseases |
|---|---|---|
| TINF2 | 6 / 10 | Bone marrow diseases, Cerebellar diseases, dyskeratosis congenita, autosomal dominant 3, Revesz debuse syndrome and 2 more |
| NDUFA13 | 3 / 10 | Differentiated thyroid carcinoma, Hurthle cell thyroid cancer, Thyroid carcinoma |
| NRG1 | 3 / 10 | Differentiated thyroid carcinoma, Thyroid cancer, Thyroid carcinoma |
| PCNX2 | 3 / 10 | Differentiated thyroid carcinoma, Thyroid cancer, Thyroid carcinoma |
| TRMO | 3 / 10 | Differentiated thyroid carcinoma, Thyroid cancer, Thyroid carcinoma |
| FOXE1 | 2 / 10 | Differentiated thyroid carcinoma, Thyroid cancer |
| MBIP | 2 / 10 | Differentiated thyroid carcinoma, Thyroid cancer |
| SEPTIN11 | 2 / 10 | Differentiated thyroid carcinoma, Thyroid carcinoma |
| SLK | 2 / 10 | Differentiated thyroid carcinoma, Thyroid cancer |
| SOWAHB | 2 / 10 | Differentiated thyroid carcinoma, Thyroid carcinoma |
| STN1 | 2 / 10 | Differentiated thyroid carcinoma, Thyroid cancer |
| TERT | 2 / 10 | Differentiated thyroid carcinoma, Thyroid cancer |
| VAV3 | 2 / 10 | Differentiated thyroid carcinoma, Thyroid carcinoma |
| ZEB2 | 2 / 10 | Cerebellar diseases, Mowat-wilson syndrome |
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 ⇵ |
|---|---|---|---|---|---|
| Thyroid cancer | KEGG | 12 / 37 | 45.3× | 1.31e-17 | 6.70e-15 ✓ sig. |
| Pathways in cancer | KEGG | 18 / 533 | 4.7× | 3.07e-8 | 2.47e-6 ✓ sig. |
| RAS GTPase cycle mutants | Reactome | 3 / 3 | 140× | 3.55e-7 | 2.11e-5 ✓ sig. |
| FoxO signaling pathway | KEGG | 9 / 133 | 9.5× | 4.27e-7 | 2.49e-5 ✓ sig. |
| SHC1 events in ERBB4 signaling | Reactome | 4 / 14 | 39.9× | 2.32e-6 | 1.08e-4 ✓ sig. |
| GRB2 events in ERBB2 signaling | Reactome | 4 / 14 | 39.9× | 2.32e-6 | 1.08e-4 ✓ sig. |
| Activation of RAS in B cells | Reactome | 3 / 5 | 83.8× | 3.51e-6 | 1.52e-4 ✓ sig. |
| Long-term depression | KEGG | 6 / 60 | 14.0× | 4.15e-6 | 1.75e-4 ✓ sig. |
| Estrogen-stimulated signaling through PRKCZ | Reactome | 3 / 6 | 69.8× | 6.98e-6 | 2.65e-4 ✓ sig. |
| Central carbon metabolism in cancer | KEGG | 6 / 71 | 11.8× | 1.12e-5 | 3.88e-4 ✓ sig. |
| RAS signaling downstream of NF1 loss-of-function variants | Reactome | 3 / 7 | 59.9× | 1.22e-5 | 4.17e-4 ✓ sig. |
| FLT3 Signaling | Reactome | 3 / 7 | 59.9× | 1.22e-5 | 4.17e-4 ✓ sig. |
| Non-small cell lung cancer | KEGG | 6 / 73 | 11.5× | 1.31e-5 | 4.43e-4 ✓ sig. |
| Signaling by ERBB2 TMD/JMD mutants | Reactome | 4 / 22 | 25.4× | 1.62e-5 | 5.31e-4 ✓ sig. |
| Chronic myeloid leukemia | KEGG | 6 / 77 | 10.9× | 1.78e-5 | 5.72e-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 ⇵ |
|---|---|---|---|---|---|
| thyroid gland development | GO:0030878 | 6 / 30 | 43.5× | 4.33e-9 | 8.15e-7 ✓ sig. |
| cell surface receptor protein tyrosine kinase signaling pathway | GO:0007169 | 6 / 120 | 10.9× | 1.91e-5 | 8.97e-4 ✓ sig. |
| positive regulation of gene expression | GO:0010628 | 11 / 504 | 4.7× | 1.94e-5 | 9.08e-4 ✓ sig. |
| telomere capping | GO:0016233 | 3 / 12 | 54.3× | 2.01e-5 | 9.32e-4 ✓ sig. |
| cell differentiation | GO:0030154 | 16 / 1,051 | 3.3× | 2.09e-5 | 9.60e-4 ✓ sig. |
| substantia propria of cornea development | GO:1903701 | 2 / 2 | 217× | 2.09e-5 | 9.61e-4 ✓ sig. |
| positive regulation of DNA-templated transcription | GO:0045893 | 13 / 778 | 3.6× | 5.36e-5 | 1.96e-3 ✓ sig. |
| MAPK cascade | GO:0000165 | 6 / 147 | 8.9× | 5.99e-5 | 2.13e-3 ✓ sig. |
| telomere assembly | GO:0032202 | 2 / 3 | 145× | 6.26e-5 | 2.20e-3 ✓ sig. |
| negative regulation of neuron apoptotic process | GO:0043524 | 6 / 160 | 8.1× | 9.58e-5 | 3.04e-3 ✓ sig. |
| generation of neurons | GO:0048699 | 3 / 20 | 32.6× | 1.01e-4 | 3.17e-3 ✓ sig. |
| response to L-ascorbic acid | GO:0033591 | 2 / 4 | 109× | 1.25e-4 | 3.68e-3 ✓ sig. |
| regulation of transforming growth factor beta2 production | GO:0032909 | 2 / 4 | 109× | 1.25e-4 | 3.68e-3 ✓ sig. |
| response to isolation stress | GO:0035900 | 2 / 4 | 109× | 1.25e-4 | 3.68e-3 ✓ sig. |
| positive regulation of miRNA transcription | GO:1902895 | 4 / 56 | 15.5× | 1.28e-4 | 3.75e-3 ✓ sig. |