RECQL

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

Across TCGA cell cohorts, RECQL mutation is significantly associated with the drug of many other genes, with 4 significant associations in total. LARGE_INTESTINE shows the largest number of these associations.

The most reproducible RECQL-associated genes across cancer lineages are IGFR_3801, JAK1_8709, and VSP34_8731. Each is linked with RECQL in more than 1 cancer types. Because this analysis shows association rather than direction, both RECQL-to-partner and partner-to-RECQL results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, IGFR_3801 grouped by RECQL-low versus RECQL-high in LARGE_INTESTINE.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RECQL→partner) and Y-score (partner→RECQL) 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
LARGE_INTESTINEIGFR_3801 →-0.624-2.743.023.04631
LARGE_INTESTINEJAK1_8709 →+0.378+2.871.044.02131
LARGE_INTESTINEVSP34_8731 →+0.409+2.710.032.02731
LARGE_INTESTINEGSK2110183B →+0.635+2.871.027.02111
Each partner links to its Q-omics profile. Showing the 4 strongest of 4 associations by consensus.

IGFR_3801 by RECQL expression — LARGE_INTESTINE

Box plot of IGFR_3801 in RECQL-low vs RECQL-high samples in LARGE_INTESTINE.

Explore this box plot interactively →

Exploration