MIR1-1HG

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

Across TCGA patient cohorts, MIR1-1HG mutation is significantly associated with the RNA expression of many other genes, with 13 significant associations in total. LUSC shows the largest number of these associations.

The most reproducible MIR1-1HG-associated genes across cancer lineages are SMIM34B, RNA5SP485, and MIR132. Each is linked with MIR1-1HG in more than 1 cancer types. Because this analysis shows association rather than direction, both MIR1-1HG-to-partner and partner-to-MIR1-1HG results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SMIM34B grouped by MIR1-1HG-low versus MIR1-1HG-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (MIR1-1HG→partner) and Y-score (partner→MIR1-1HG) 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
SKCMSMIM34B →+0.029+7.816<.001.00832
BLCARNA5SP485 →+0.358+7.640<.001.00931
UCECMIR132 →+0.650+5.771<.001.00331
SKCMRNF138P2 →+0.049+7.816<.001.00831
SKCMPRAMEF34P →+0.019+7.816<.001.00831
LUSCRNA5SP509 →+0.373+7.924<.001.00831
Each partner links to its Q-omics profile. Showing the 6 strongest of 13 associations by consensus.

SMIM34B by MIR1-1HG expression — SKCM

Box plot of SMIM34B in MIR1-1HG-low vs MIR1-1HG-high samples in SKCM.

Explore this box plot interactively →

Exploration