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Cluster 214

8 diseases · 8 shared-gene connections
8 Diseases
148 Unique genes
0.033 Avg. similarity score
Kidney neoplasms 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)

Disease ⇵ Connections in cluster ⇵ Significant partners ⇵ Curated genes ⇵
Kidney neoplasms 4 4 40
Sezary syndrome 4 4 27
Cervicitis 2 2 1
Small cell lung carcinoma 2 2 91
Borderline personality disorder 1 1 1
Nasopalpebral lipoma-coloboma syndrome 1 1 1
immunodeficiency 109 with lymphoproliferation 1 1 1
snijders blok-campeau syndrome 1 1 1

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

Gene ⇵ Member diseases ⇵ Linked diseases
IL32 3 / 8 Cervicitis, Kidney neoplasms, Sezary syndrome
BRAF 2 / 8 Kidney neoplasms, Sezary syndrome
CDKN1B 2 / 8 Kidney neoplasms, Sezary syndrome
CHD3 2 / 8 Sezary syndrome, snijders blok-campeau syndrome
CREBBP 2 / 8 Sezary syndrome, Small cell lung carcinoma
MAPK1 2 / 8 Kidney neoplasms, Sezary syndrome
NDRG1 2 / 8 Kidney neoplasms, Small cell lung carcinoma
PTEN 2 / 8 Sezary syndrome, Small cell lung carcinoma
RB1 2 / 8 Sezary syndrome, Small cell lung carcinoma
SMARCA4 2 / 8 Sezary syndrome, Small cell lung carcinoma
TNFRSF9 2 / 8 immunodeficiency 109 with lymphoproliferation, Kidney neoplasms
TP53 2 / 8 Sezary syndrome, Small cell lung carcinoma
TPH1 2 / 8 Borderline personality disorder, Kidney neoplasms
ZDBF2 2 / 8 Nasopalpebral lipoma-coloboma syndrome, Small cell lung carcinoma
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 ⇵
Prostate cancer KEGG 14 / 98 11.6× 1.34e-11 2.34e-9 ✓ sig.
Melanoma KEGG 11 / 73 12.2× 1.27e-9 1.37e-7 ✓ sig.
Non-small cell lung cancer KEGG 11 / 73 12.2× 1.27e-9 1.37e-7 ✓ sig.
Bladder cancer KEGG 9 / 41 17.8× 1.29e-9 1.39e-7 ✓ sig.
Pathways in cancer KEGG 26 / 533 4.0× 1.48e-9 1.58e-7 ✓ sig.
Glioma KEGG 11 / 76 11.7× 1.97e-9 2.03e-7 ✓ sig.
Human T-cell leukemia virus 1 infection KEGG 17 / 224 6.2× 2.13e-9 2.17e-7 ✓ sig.
Hepatocellular carcinoma KEGG 14 / 170 6.7× 2.15e-8 1.71e-6 ✓ sig.
Pancreatic cancer KEGG 10 / 77 10.5× 3.22e-8 2.44e-6 ✓ sig.
Endocrine resistance KEGG 11 / 99 9.0× 3.41e-8 2.55e-6 ✓ sig.
FoxO signaling pathway KEGG 12 / 133 7.3× 8.37e-8 5.61e-6 ✓ sig.
Breast cancer KEGG 12 / 148 6.6× 2.72e-7 1.57e-5 ✓ sig.
Negative feedback regulation of MAPK pathway Reactome 4 / 6 54.1× 3.26e-7 1.84e-5 ✓ sig.
Chronic myeloid leukemia KEGG 9 / 77 9.5× 4.06e-7 2.23e-5 ✓ sig.
Cellular senescence KEGG 12 / 157 6.2× 5.16e-7 2.75e-5 ✓ 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 ⇵
negative regulation of cell population proliferation GO:0008285 18 / 444 5.1× 1.50e-8 2.43e-6 ✓ sig.
heart development GO:0007507 14 / 273 6.5× 3.71e-8 5.27e-6 ✓ sig.
chromatin organization GO:0006325 17 / 449 4.8× 1.04e-7 1.24e-5 ✓ sig.
positive regulation of cell differentiation GO:0045597 8 / 83 12.2× 3.06e-7 3.10e-5 ✓ sig.
regulation of G1/S transition of mitotic cell cycle GO:2000045 7 / 57 15.5× 3.22e-7 3.22e-5 ✓ sig.
face development GO:0060324 5 / 22 28.7× 6.88e-7 6.12e-5 ✓ sig.
regulation of gene expression GO:0010468 15 / 402 4.7× 7.34e-7 6.46e-5 ✓ sig.
positive regulation of transcription by RNA polymerase II GO:0045944 27 / 1,208 2.8× 8.48e-7 7.25e-5 ✓ sig.
negative regulation of apoptotic process GO:0043066 17 / 524 4.1× 9.04e-7 7.63e-5 ✓ sig.
cell population proliferation GO:0008283 12 / 263 5.8× 1.26e-6 9.98e-5 ✓ sig.
neuron differentiation GO:0030182 11 / 222 6.3× 1.60e-6 1.20e-4 ✓ sig.
chromatin remodeling GO:0006338 13 / 320 5.1× 1.64e-6 1.23e-4 ✓ sig.
mammary gland epithelial cell proliferation GO:0033598 4 / 12 42.1× 1.78e-6 1.31e-4 ✓ sig.
apoptotic process GO:0006915 20 / 747 3.4× 1.86e-6 1.36e-4 ✓ sig.
response to epidermal growth factor GO:0070849 3 / 5 75.8× 4.81e-6 2.91e-4 ✓ sig.

Pairs within this cluster, by significance

Disease A ⇵ Disease B ⇵ Similarity score ⇵ Shared genes ⇵ P-value ⇵ FDR q-value ⇵
Sezary syndrome Small cell lung carcinoma 0.044 5 4.70e-7 3.10e-6 ✓ sig.
Kidney neoplasms Sezary syndrome 0.063 4 6.56e-7 4.21e-6 ✓ sig.
Cervicitis Sezary syndrome 0.036 1 1.75e-3 2.59e-3 ✓ sig.
Sezary syndrome snijders blok-campeau syndrome 0.036 1 1.75e-3 2.59e-3 ✓ sig.
Borderline personality disorder Kidney neoplasms 0.024 1 2.60e-3 3.50e-3 ✓ sig.
Cervicitis Kidney neoplasms 0.024 1 2.60e-3 3.50e-3 ✓ sig.
immunodeficiency 109 with lymphoproliferation Kidney neoplasms 0.024 1 2.60e-3 3.50e-3 ✓ sig.
Nasopalpebral lipoma-coloboma syndrome Small cell lung carcinoma 0.011 1 5.91e-3 7.13e-3 ✓ sig.