AAGAB

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

Across TCGA cell cohorts, AAGAB mutation is significantly associated with the RNA expression of many other genes, with 9 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible AAGAB-associated genes across cancer lineages are CRNN, SLC35G3, and ACTRT2. Each is linked with AAGAB in more than 1 cancer types. Because this analysis shows association rather than direction, both AAGAB-to-partner and partner-to-AAGAB results are reported.

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

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (AAGAB→partner) and Y-score (partner→AAGAB) 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_LeukemiaCRNN →+0.074+5.060<.001.00131
BLOOD_LeukemiaSLC35G3 →+0.033+4.874.002.00231
BLOOD_LeukemiaACTRT2 →+0.065+5.507<.001<.00131
BLOOD_LeukemiaDEFB4B →+0.234+4.539<.001.00731
BLOOD_LeukemiaOR10K2 →+0.065+4.705<.001.00331
BLOOD_LeukemiaS100A7A →+0.045+4.152<.001.00931
Each partner links to its Q-omics profile. Showing the 6 strongest of 9 associations by consensus.

CRNN by AAGAB expression — BLOOD_Leukemia

Box plot of CRNN in AAGAB-low vs AAGAB-high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration