AIG1

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

Across TCGA patient cohorts, AIG1 mutation is significantly associated with the RNA expression of many other genes, with 887 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible AIG1-associated genes across cancer lineages are RN7SKP27, RNA5SP164, and RNU6-148P. Each is linked with AIG1 in more than 1 cancer types. Because this analysis shows association rather than direction, both AIG1-to-partner and partner-to-AIG1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RN7SKP27 grouped by AIG1-low versus AIG1-high in BRCA.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (AIG1→partner) and Y-score (partner→AIG1) 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
BRCARN7SKP27 →+0.274+7.731<.001.00932
BRCARNA5SP164 →+0.244+8.471<.001.00531
BRCARNU6-148P →+0.276+7.731<.001.00931
BRCABUD31P1 →+0.073+7.731<.001.00931
BRCAMIR4465 →+0.313+9.057<.001.00331
UCECSNRPGP17 →+0.263+2.879.007<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 887 associations by consensus.

RN7SKP27 by AIG1 expression — BRCA

Box plot of RN7SKP27 in AIG1-low vs AIG1-high samples in BRCA.

Explore this box plot interactively →

Exploration