AFG3L2

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

Across TCGA cell cohorts, AFG3L2 mutation is significantly associated with the RNA expression of many other genes, with 27 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible AFG3L2-associated genes across cancer lineages are CGB2, KNCN, and TACR3. Each is linked with AFG3L2 in more than 1 cancer types. Because this analysis shows association rather than direction, both AFG3L2-to-partner and partner-to-AFG3L2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CGB2 grouped by AFG3L2-low versus AFG3L2-high in BLOOD_Leukemia.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (AFG3L2→partner) and Y-score (partner→AFG3L2) 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_LeukemiaCGB2 →+0.700+3.234<.001.00831
BLOOD_LeukemiaKNCN →+0.024+3.691<.001.00231
BLOOD_LeukemiaTACR3 →+0.030+3.475<.001.00631
BLOOD_LeukemiaVWC2L →+0.009+3.339<.001.00631
BLOOD_LeukemiaPRM3 →+0.045+4.569<.001.00331
BLOOD_LeukemiaDEFB125 →+0.032+3.475<.001.00631
Each partner links to its Q-omics profile. Showing the 6 strongest of 27 associations by consensus.

CGB2 by AFG3L2 expression — BLOOD_Leukemia

Box plot of CGB2 in AFG3L2-low vs AFG3L2-high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration