SETD2

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

Across TCGA cell cohorts, SETD2 mutation is significantly associated with the RNA expression of many other genes, with 1,600 significant associations in total. LARGE_INTESTINE shows the largest number of these associations.

The most reproducible SETD2-associated genes across cancer lineages are IFNA5, ANGPTL5, and OR2L13. Each is linked with SETD2 in more than 2 cancer types. Because this analysis shows association rather than direction, both SETD2-to-partner and partner-to-SETD2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, IFNA5 grouped by SETD2-low versus SETD2-high in KIDNEY.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD2→partner) and Y-score (partner→SETD2) 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
KIDNEYIFNA5 →+0.029+2.263<.001.00832
SOFT_TISSUEANGPTL5 →+0.100+3.584.002.00632
SOFT_TISSUEOR2L13 →+0.151+3.422.003<.00132
KIDNEYBSND →+0.034+2.552.006.00832
LARGE_INTESTINETMEM31 →+0.360+3.678<.001<.00132
KIDNEYARID3C →+0.199+3.341<.001.00432
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,600 associations by consensus.

IFNA5 by SETD2 expression — KIDNEY

Box plot of IFNA5 in SETD2-low vs SETD2-high samples in KIDNEY.

Explore this box plot interactively →

Exploration