DNAJB9

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

Across TCGA cell cohorts, DNAJB9 mutation is significantly associated with the mutation status of many other genes, with 82 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible DNAJB9-associated genes across cancer lineages are KCTD17, POLI, and PCDH11X. Each is linked with DNAJB9 in more than 1 cancer types. Because this analysis shows association rather than direction, both DNAJB9-to-partner and partner-to-DNAJB9 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, KCTD17 grouped by DNAJB9-low versus DNAJB9-high in BLOOD_Lymphoma.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (DNAJB9→partner) and Y-score (partner→DNAJB9) 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_LymphomaKCTD17 →+6.014+6.014.001.00111
BLOOD_LymphomaPOLI →+4.429+5.247.005.00511
BLOOD_LymphomaPCDH11X →+5.014+5.584.003.00311
BLOOD_LymphomaCD276 →+6.014+6.014.001.00111
BLOOD_LymphomaMYEF2 →+4.429+5.247.005.00511
BLOOD_LymphomaCLASRP →+5.014+5.584.003.00311
Each partner links to its Q-omics profile. Showing the 6 strongest of 82 associations by consensus.

KCTD17 by DNAJB9 expression — BLOOD_Lymphoma

Box plot of KCTD17 in DNAJB9-low vs DNAJB9-high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration