RNASEH2A

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

Across TCGA patient cohorts, RNASEH2A mutation is significantly associated with the RNA expression of many other genes, with 1,058 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible RNASEH2A-associated genes across cancer lineages are GAPDHP56, SKA1, and ZMYND19. Each is linked with RNASEH2A in more than 1 cancer types. Because this analysis shows association rather than direction, both RNASEH2A-to-partner and partner-to-RNASEH2A results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, GAPDHP56 grouped by RNASEH2A-low versus RNASEH2A-high in READ.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RNASEH2A→partner) and Y-score (partner→RNASEH2A) 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
READGAPDHP56 →+0.094+6.257<.001.00132
SKCMSKA1 →+0.872+3.478<.001.00232
UCECZMYND19 →+0.496+2.839<.001.00132
UCECTCF3 →+0.601+3.191.001.00932
UCECNUTF2 →+0.382+3.201.005.00932
UCECACD →+0.658+2.839<.001.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,058 associations by consensus.

GAPDHP56 by RNASEH2A expression — READ

Box plot of GAPDHP56 in RNASEH2A-low vs RNASEH2A-high samples in READ.

Explore this box plot interactively →

Exploration