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 133
10
Diseases
27
Unique genes
0.182
Avg. similarity score
Hyper-igm immunodeficiency syndrome
Most-connected disease (7 links)
Disease
Searched: immunodeficiency, common variable, 2
Pinned (dragged)
Node size = connections within this cluster · edge thickness = similarity strength · hover an edge for its details ·
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immunodeficiency, common variable, 2
Hyper-igm immunodeficiency syndrome
Hyper-immunoglobulin m syndrome
Blast crisis
Hodgkin disease
Hyper-immunoglobulin syndrome
X-linked hyper-igm syndrome
Bloom syndrome
Chromosome 22q11.2 microdeletion syndrome
Myelogenous leukemia
Member diseases (most connected first ‐ the cluster's core)
| Disease ⇵ | Connections in cluster ⇵ | Significant partners ⇵ | Curated genes ⇵ |
|---|---|---|---|
| Hyper-igm immunodeficiency syndrome | 7 | 7 | 7 |
| Hyper-immunoglobulin m syndrome | 6 | 6 | 4 |
| Blast crisis | 5 | 5 | 2 |
| Hodgkin disease | 4 | 4 | 17 |
| Hyper-immunoglobulin syndrome | 4 | 4 | 2 |
| X-linked hyper-igm syndrome | 3 | 3 | 1 |
| Bloom syndrome | 2 | 2 | 2 |
| Chromosome 22q11.2 microdeletion syndrome | 2 | 2 | 3 |
| Myelogenous leukemia | 2 | 2 | 3 |
| immunodeficiency, common variable, 2 | 1 | 1 | 1 |
Top shared genes (genes linked to 2+ member diseases)
| Gene ⇵ | Member diseases ⇵ | Linked diseases |
|---|---|---|
| AICDA | 4 / 10 | Blast crisis, Hyper-igm immunodeficiency syndrome, Hyper-immunoglobulin m syndrome, Hyper-immunoglobulin syndrome |
| CD40 | 4 / 10 | Hodgkin disease, Hyper-igm immunodeficiency syndrome, Hyper-immunoglobulin m syndrome, Hyper-immunoglobulin syndrome |
| CD40LG | 4 / 10 | Hodgkin disease, Hyper-igm immunodeficiency syndrome, Hyper-immunoglobulin m syndrome, X-linked hyper-igm syndrome |
| BCR | 3 / 10 | Blast crisis, Chromosome 22q11.2 microdeletion syndrome, Myelogenous leukemia |
| UNG | 3 / 10 | Bloom syndrome, Hyper-igm immunodeficiency syndrome, Hyper-immunoglobulin m syndrome |
| MAPK1 | 2 / 10 | Chromosome 22q11.2 microdeletion syndrome, Hodgkin disease |
| TNFRSF13B | 2 / 10 | Hyper-igm immunodeficiency syndrome, immunodeficiency, common variable, 2 |
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 ⇵ |
|---|---|---|---|---|---|
| Primary immunodeficiency | KEGG | 6 / 38 | 70.2× | 1.87e-10 | 2.40e-8 ✓ sig. |
| Chronic myeloid leukemia | KEGG | 6 / 77 | 34.7× | 1.52e-8 | 1.22e-6 ✓ sig. |
| NF-kappa B signaling pathway | KEGG | 6 / 105 | 25.4× | 9.86e-8 | 6.46e-6 ✓ sig. |
| Lipid and atherosclerosis | KEGG | 7 / 216 | 14.4× | 3.61e-7 | 2.01e-5 ✓ sig. |
| Cytokine-cytokine receptor interaction | KEGG | 7 / 298 | 10.4× | 3.13e-6 | 1.31e-4 ✓ sig. |
| Toll-like receptor signaling pathway | KEGG | 5 / 109 | 20.4× | 3.87e-6 | 1.57e-4 ✓ sig. |
| Intestinal immune network for IgA production | KEGG | 4 / 50 | 35.6× | 4.35e-6 | 1.72e-4 ✓ sig. |
| Malaria | KEGG | 4 / 50 | 35.6× | 4.35e-6 | 1.72e-4 ✓ sig. |
| Toxoplasmosis | KEGG | 5 / 112 | 19.9× | 4.42e-6 | 1.75e-4 ✓ sig. |
| TNF signaling pathway | KEGG | 5 / 119 | 18.7× | 5.95e-6 | 2.23e-4 ✓ sig. |
| Pathways in cancer | KEGG | 8 / 533 | 6.7× | 1.50e-5 | 4.78e-4 ✓ sig. |
| Viral myocarditis | KEGG | 4 / 70 | 25.4× | 1.68e-5 | 5.25e-4 ✓ sig. |
| Hepatitis C | KEGG | 5 / 159 | 14.0× | 2.44e-5 | 7.19e-4 ✓ sig. |
| TNFs bind their physiological receptors | Reactome | 3 / 29 | 46.0× | 3.56e-5 | 9.79e-4 ✓ sig. |
| Influenza A | KEGG | 5 / 173 | 12.9× | 3.65e-5 | 9.98e-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 ⇵ |
|---|---|---|---|---|---|
| cellular response to lipopolysaccharide | GO:0071222 | 6 / 187 | 22.2× | 2.30e-7 | 2.48e-5 ✓ sig. |
| T cell receptor signaling pathway | GO:0050852 | 5 / 121 | 28.6× | 7.54e-7 | 6.66e-5 ✓ sig. |
| thymus development | GO:0048538 | 4 / 50 | 55.4× | 7.60e-7 | 6.70e-5 ✓ sig. |
| positive regulation of canonical NF-kappaB signal transduction | GO:0043123 | 6 / 232 | 17.9× | 8.17e-7 | 7.10e-5 ✓ sig. |
| canonical NF-kappaB signal transduction | GO:0007249 | 4 / 62 | 44.7× | 1.82e-6 | 1.36e-4 ✓ sig. |
| isotype switching | GO:0045190 | 3 / 19 | 109× | 2.57e-6 | 1.79e-4 ✓ sig. |
| inflammatory response | GO:0006954 | 7 / 467 | 10.4× | 3.35e-6 | 2.23e-4 ✓ sig. |
| positive regulation of endothelial cell apoptotic process | GO:2000353 | 3 / 29 | 71.6× | 9.59e-6 | 5.14e-4 ✓ sig. |
| positive regulation of extracellular matrix organization | GO:1903055 | 2 / 4 | 346× | 1.20e-5 | 6.11e-4 ✓ sig. |
| immune effector process | GO:0002252 | 2 / 4 | 346× | 1.20e-5 | 6.11e-4 ✓ sig. |
| response to exogenous dsRNA | GO:0043330 | 3 / 34 | 61.1× | 1.56e-5 | 7.51e-4 ✓ sig. |
| cellular response to tumor necrosis factor | GO:0071356 | 4 / 107 | 25.9× | 1.61e-5 | 7.69e-4 ✓ sig. |
| response to ethanol | GO:0045471 | 4 / 110 | 25.2× | 1.80e-5 | 8.37e-4 ✓ sig. |
| vascular endothelial cell response to oscillatory fluid shear stress | GO:0097706 | 2 / 5 | 277× | 2.01e-5 | 9.14e-4 ✓ sig. |
| B cell proliferation | GO:0042100 | 3 / 38 | 54.6× | 2.19e-5 | 9.78e-4 ✓ sig. |