PRKD3

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

Across TCGA cell cohorts, PRKD3 mutation is significantly associated with the RNA expression of many other genes, with 10 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible PRKD3-associated genes across cancer lineages are GYS2, MUC7, and DMRTC2. Each is linked with PRKD3 in more than 1 cancer types. Because this analysis shows association rather than direction, both PRKD3-to-partner and partner-to-PRKD3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, GYS2 grouped by PRKD3-low versus PRKD3-high in BLOOD_Myeloma.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PRKD3→partner) and Y-score (partner→PRKD3) 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_MyelomaGYS2 →+0.066+3.906<.001.00931
BLOOD_MyelomaMUC7 →+0.023+3.906<.001.00931
CNSDMRTC2 →+0.119+5.321<.001.00531
CNSOR4X2 →+0.044+4.981<.001.00831
CNSACSM2B →+0.013+5.321<.001.00531
BLOOD_LeukemiaASB10 →+0.058+3.551.005.00931
Each partner links to its Q-omics profile. Showing the 6 strongest of 10 associations by consensus.

GYS2 by PRKD3 expression — BLOOD_Myeloma

Box plot of GYS2 in PRKD3-low vs PRKD3-high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration