SETDB1

mutation — cross-omics
Cross-omicsMUTATION → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SETDB1 mutation is significantly associated with the RNA expression of many other genes, with 4,069 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETDB1-associated genes across cancer lineages are CRYBB2P1, TRMU, and C1QBP. Each is linked with SETDB1 in more than 2 cancer types. Because this analysis shows association rather than direction, both SETDB1-to-partner and partner-to-SETDB1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CRYBB2P1 grouped by SETDB1-low versus SETDB1-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB1→partner) and Y-score (partner→SETDB1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SKCMCRYBB2P1 →+0.474+3.372.002.00433
UCECTRMU →+0.386+2.090<.001<.00133
UCECC1QBP →+0.479+1.700<.001<.00133
UCECLRRC59 →+0.484+1.873<.001<.00133
UCECETFA →+0.623+2.426<.001<.00133
UCECFANCA →+0.503+1.547<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,069 associations by consensus.

CRYBB2P1 by SETDB1 expression — SKCM

Box plot of CRYBB2P1 in SETDB1-low vs SETDB1-high samples in SKCM.

Explore this box plot interactively →

Exploration