PPP1R16A

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

Across TCGA cell cohorts, PPP1R16A mutation is significantly associated with the RNA expression of many other genes, with 18 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible PPP1R16A-associated genes across cancer lineages are ACOD1, LY6G6D, and DCANP1. Each is linked with PPP1R16A in more than 1 cancer types. Because this analysis shows association rather than direction, both PPP1R16A-to-partner and partner-to-PPP1R16A results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, ACOD1 grouped by PPP1R16A-low versus PPP1R16A-high in BLOOD_Lymphoma.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PPP1R16A→partner) and Y-score (partner→PPP1R16A) 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
BLOOD_LymphomaACOD1 →+0.006+4.867<.001.00931
SKINLY6G6D →+0.085+4.273.007.00631
SKINDCANP1 →+0.006+4.467.007.00431
LUNG_SCLCOR4F4 →+0.016+5.643<.001.00231
LUNG_SCLCDEFB125 →+0.086+5.643<.001.00231
LUNG_SCLCOR4F5 →+0.013+5.029<.001.00631
Each partner links to its Q-omics profile. Showing the 6 strongest of 18 associations by consensus.

ACOD1 by PPP1R16A expression — BLOOD_Lymphoma

Box plot of ACOD1 in PPP1R16A-low vs PPP1R16A-high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration