SH3YL1

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

Across TCGA patient cohorts, SH3YL1 mutation is significantly associated with the RNA expression of many other genes, with 1,988 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SH3YL1-associated genes across cancer lineages are RNU6-1169P, LGALS16, and RNU6-1107P. Each is linked with SH3YL1 in more than 1 cancer types. Because this analysis shows association rather than direction, both SH3YL1-to-partner and partner-to-SH3YL1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNU6-1169P grouped by SH3YL1-low versus SH3YL1-high in READ.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SH3YL1→partner) and Y-score (partner→SH3YL1) 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
READRNU6-1169P →+0.445+5.421<.001.00532
READLGALS16 →+0.090+7.276<.001<.00132
LUSCRNU6-1107P →+0.369+4.984<.001.00932
BLCAPSAT1P4 →+0.178+5.038<.001.00932
UCECRN7SKP230 →+0.270+1.699.001.00832
UCECDYNLT3P2 →+0.291+1.825<.001.00732
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,988 associations by consensus.

RNU6-1169P by SH3YL1 expression — READ

Box plot of RNU6-1169P in SH3YL1-low vs SH3YL1-high samples in READ.

Explore this box plot interactively →

Exploration