ARHGEF1

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

Across TCGA cell cohorts, ARHGEF1 mutation is significantly associated with the RNA expression of many other genes, with 1,054 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ARHGEF1-associated genes across cancer lineages are CHAT, DNAL4, and SLC32A1. Each is linked with ARHGEF1 in more than 1 cancer types. Because this analysis shows association rather than direction, both ARHGEF1-to-partner and partner-to-ARHGEF1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CHAT grouped by ARHGEF1-low versus ARHGEF1-high in BLOOD_Leukemia.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ARHGEF1→partner) and Y-score (partner→ARHGEF1) 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
BLOOD_LeukemiaCHAT →+0.531+3.994.009<.00132
BLOOD_LeukemiaDNAL4 →+0.579+3.259.003.00632
BLOOD_LeukemiaSLC32A1 →+0.669+3.124<.001<.00132
BLOOD_LeukemiaPCOLCE →+1.656+3.199<.001.00732
BLOOD_LeukemiaAPBA3 →+0.558+3.115.002.00932
BLOOD_LeukemiaIL17F →+0.038+2.440<.001.00632
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,054 associations by consensus.

CHAT by ARHGEF1 expression — BLOOD_Leukemia

Box plot of CHAT in ARHGEF1-low vs ARHGEF1-high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration