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Cluster 386

5 diseases · 6 shared-gene connections
5 Diseases
10 Unique genes
0.173 Avg. similarity score
Bone marrow failure syndromes Most-connected disease (4 links)
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Disease Searched: Bone marrow failure syndromes 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
ERCC6L2 3 / 5 Bone marrow failure syndromes, Congenital bone marrow failure syndrome, Growth hormone insensitivity syndrome with immune dysregulation
SRP72 3 / 5 Aplasia and myelodysplasia, Bone marrow failure syndromes, Congenital bone marrow failure syndrome
DNAJC21 2 / 5 Bone marrow failure syndromes, Congenital bone marrow failure syndrome
MYSM1 2 / 5 Bone marrow failure syndromes, Congenital progressive bone marrow failure-b-cell immunodeficiency-skeletal dysplasia 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 ⇵
Stabilization of p53 Reactome 2 / 11 218× 3.42e-5 9.46e-4 ✓ sig.
Regulation of TP53 Activity through Methylation Reactome 2 / 19 126× 1.06e-4 2.38e-3 ✓ sig.
TP53 regulates transcription of additional cell cycle genes whose exact role in the p53 pathway remain uncertain Reactome 2 / 20 120× 1.18e-4 2.58e-3 ✓ sig.
Interleukin-3, Interleukin-5 and GM-CSF signaling Reactome 2 / 23 104× 1.56e-4 3.24e-3 ✓ sig.
Oncogene Induced Senescence Reactome 2 / 33 72.8× 3.25e-4 5.80e-3 ✓ sig.
Regulation of TP53 Degradation Reactome 2 / 36 66.7× 3.87e-4 6.66e-3 ✓ sig.
Human T-cell leukemia virus 1 infection KEGG 3 / 224 16.1× 6.97e-4 1.05e-2 ✓ sig.
Defective GCK causes maturity-onset diabetes of the young 2 (MODY2) Reactome 1 / 1 1,201× 8.33e-4 1.21e-2 ✓ sig.
Acute myeloid leukemia KEGG 2 / 68 35.3× 1.38e-3 1.78e-2 ✓ sig.
Prolactin signaling pathway KEGG 2 / 71 33.8× 1.50e-3 1.89e-2 ✓ sig.
Central carbon metabolism in cancer KEGG 2 / 71 33.8× 1.50e-3 1.89e-2 ✓ sig.
Non-small cell lung cancer KEGG 2 / 73 32.9× 1.59e-3 1.97e-2 ✓ sig.
Regulation of TP53 Expression Reactome 1 / 2 601× 1.66e-3 2.04e-2 ✓ sig.
Signaling by Leptin Reactome 1 / 2 601× 1.66e-3 2.04e-2 ✓ sig.
p53 signaling pathway KEGG 2 / 75 32.0× 1.68e-3 2.05e-2 ✓ 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 ⇵
regulation of cell population proliferation GO:0042127 5 / 201 46.5× 3.30e-8 4.75e-6 ✓ sig.
regulation of DNA damage response, signal transduction by p53 class mediator GO:0043516 2 / 7 534× 5.40e-6 3.26e-4 ✓ sig.
regulation of hemopoiesis GO:1903706 2 / 16 234× 3.08e-5 1.26e-3 ✓ sig.
macrophage differentiation GO:0030225 2 / 37 101× 1.70e-4 4.59e-3 ✓ sig.
T cell differentiation in thymus GO:0033077 2 / 41 91.2× 2.09e-4 5.32e-3 ✓ sig.
protein stabilization GO:0050821 3 / 248 22.6× 2.59e-4 6.16e-3 ✓ sig.
DNA damage response, signal transduction by p53 class mediator GO:0030330 2 / 48 77.9× 2.87e-4 6.62e-3 ✓ sig.
regulation of cell cycle GO:0051726 3 / 262 21.4× 3.04e-4 6.93e-3 ✓ sig.
cell population proliferation GO:0008283 3 / 263 21.3× 3.07e-4 6.98e-3 ✓ sig.
cellular response to UV GO:0034644 2 / 55 68.0× 3.77e-4 8.05e-3 ✓ sig.
cellular senescence GO:0090398 2 / 57 65.6× 4.05e-4 8.46e-3 ✓ sig.
negative regulation of helicase activity GO:0051097 1 / 1 1,869× 5.35e-4 1.02e-2 ✓ sig.
regulation of intrinsic apoptotic signaling pathway by p53 class mediator GO:1902253 1 / 1 1,869× 5.35e-4 1.02e-2 ✓ sig.
negative regulation of G1 to G0 transition GO:1903451 1 / 1 1,869× 5.35e-4 1.02e-2 ✓ sig.
regulation of endoribonuclease activity GO:0060699 1 / 1 1,869× 5.35e-4 1.02e-2 ✓ sig.

Pairs within this cluster, by significance