RGMA

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

Across TCGA cell cohorts, RGMA mutation is significantly associated with the RNA expression of many other genes, with 23 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible RGMA-associated genes across cancer lineages are TEX26, IQCF3, and KRTAP19-3. Each is linked with RGMA in more than 1 cancer types. Because this analysis shows association rather than direction, both RGMA-to-partner and partner-to-RGMA results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, TEX26 grouped by RGMA-low versus RGMA-high in LUNG_NSCLC_LUAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RGMA→partner) and Y-score (partner→RGMA) 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
LUNG_NSCLC_LUADTEX26 →+0.035+5.228<.001.00531
LUNG_NSCLC_LUADIQCF3 →+0.049+5.228<.001.00531
LUNG_NSCLC_LUADKRTAP19-3 →+0.132+5.228<.001.00531
BLOOD_LeukemiaPRKAG3 →+0.031+3.381<.001.00231
BLOOD_LeukemiaODF1 →+0.062+3.266<.001.00331
BLOOD_LeukemiaSLC2A2 →+0.010+3.556<.001.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 23 associations by consensus.

TEX26 by RGMA expression — LUNG_NSCLC_LUAD

Box plot of TEX26 in RGMA-low vs RGMA-high samples in LUNG_NSCLC_LUAD.

Explore this box plot interactively →

Exploration