EIF2D

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

Across TCGA patient cohorts, EIF2D mutation is significantly associated with the RNA expression of many other genes, with 1,967 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible EIF2D-associated genes across cancer lineages are IGHD1-1, TCEA1P4, and MTND4LP20. Each is linked with EIF2D in more than 1 cancer types. Because this analysis shows association rather than direction, both EIF2D-to-partner and partner-to-EIF2D results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, IGHD1-1 grouped by EIF2D-low versus EIF2D-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EIF2D→partner) and Y-score (partner→EIF2D) 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
SKCMIGHD1-1 →+0.929+2.333.001.00332
SKCMTCEA1P4 →+0.254+3.497.006.00232
CESCMTND4LP20 →+0.168+7.164<.001<.00132
LUADRNY3 →+2.363+4.631<.001.00832
LUADRN7SL147P →+0.766+4.218<.001.00932
LUADMIR1299 →+0.807+5.157.001.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,967 associations by consensus.

IGHD1-1 by EIF2D expression — SKCM

Box plot of IGHD1-1 in EIF2D-low vs EIF2D-high samples in SKCM.

Explore this box plot interactively →

Exploration