IGFL2

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

Across TCGA patient cohorts, IGFL2 mutation is significantly associated with the RNA expression of many other genes, with 47 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible IGFL2-associated genes across cancer lineages are RNU6-3P, MIR6078, and RNU1-57P. Each is linked with IGFL2 in more than 1 cancer types. Because this analysis shows association rather than direction, both IGFL2-to-partner and partner-to-IGFL2 results are reported.

Each partner links to its own Q-omics profile.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (IGFL2→partner) and Y-score (partner→IGFL2) 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
SKCMRNU6-3P →+0.381+3.255.001.00532
LUADMIR6078 →+0.414+7.930<.001.00832
UCECRNU1-57P →+0.276+4.470<.001.00432
UCECRNU6-380P →+0.206+4.470<.001.00432
UCECLINC02238 →+0.078+3.198.002.00732
SKCMNPAP1P7 →+0.810+3.770.001.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 47 associations by consensus.

Exploration