ABCC6P1

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

Across TCGA patient cohorts, ABCC6P1 mutation is significantly associated with the RNA expression of many other genes, with 299 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible ABCC6P1-associated genes across cancer lineages are RNU1-49P, L3MBTL2, and RNU6-264P. Each is linked with ABCC6P1 in more than 1 cancer types. Because this analysis shows association rather than direction, both ABCC6P1-to-partner and partner-to-ABCC6P1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU1-49P grouped by ABCC6P1-low versus ABCC6P1-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ABCC6P1→partner) and Y-score (partner→ABCC6P1) 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
SKCMRNU1-49P →+0.284+4.186<.001.00732
UCECL3MBTL2 →+0.527+3.267.001.00832
UCECRNU6-264P →+0.408+2.717.001.00732
LUADMIR208A →+0.422+7.930<.001.00832
SKCMMIR6074 →+0.227+4.411<.001.00531
SKCMFAM71B →+0.012+2.968.002.00531
Each partner links to its Q-omics profile. Showing the 6 strongest of 299 associations by consensus.

RNU1-49P by ABCC6P1 expression — SKCM

Box plot of RNU1-49P in ABCC6P1-low vs ABCC6P1-high samples in SKCM.

Explore this box plot interactively →

Exploration