DYNC2I1

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

Across TCGA patient cohorts, DYNC2I1 mutation is significantly associated with the RNA expression of many other genes, with 4,025 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible DYNC2I1-associated genes across cancer lineages are MIR147A, ATP6V0D1, and DDIT4. Each is linked with DYNC2I1 in more than 2 cancer types. Because this analysis shows association rather than direction, both DYNC2I1-to-partner and partner-to-DYNC2I1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, MIR147A grouped by DYNC2I1-low versus DYNC2I1-high in LIHC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (DYNC2I1→partner) and Y-score (partner→DYNC2I1) 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
LIHCMIR147A →+0.500+4.447<.001.00133
UCECATP6V0D1 →+0.419+2.684.001<.00133
COADDDIT4 →+1.052+3.348<.001.00533
UCECPTPN9 →+0.305+1.797.005.00733
UCECPPP2R2D →+0.194+1.258.005.00333
UCECC4orf46 →+0.449+1.957<.001.00233
Each partner links to its Q-omics profile. Showing the 6 strongest of 4,025 associations by consensus.

MIR147A by DYNC2I1 expression — LIHC

Box plot of MIR147A in DYNC2I1-low vs DYNC2I1-high samples in LIHC.

Explore this box plot interactively →

Exploration