ABCG1

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

Across TCGA cell cohorts, ABCG1 mutation is significantly associated with the RNA expression of many other genes, with 38 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible ABCG1-associated genes across cancer lineages are OR52E2, OR10Q1, and ADORA3. Each is linked with ABCG1 in more than 1 cancer types. Because this analysis shows association rather than direction, both ABCG1-to-partner and partner-to-ABCG1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, OR52E2 grouped by ABCG1-low versus ABCG1-high in BLOOD_Lymphoma.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ABCG1→partner) and Y-score (partner→ABCG1) 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_LymphomaOR52E2 →+0.083+4.927.004.00132
LARGE_INTESTINEOR10Q1 →+0.073+2.657.008.00731
LARGE_INTESTINEADORA3 →+0.037+3.506.005.00531
BLOOD_LymphomaDEFA1 →+1.308+4.523<.001.00431
BLOOD_LymphomaOR6B1 →+0.009+4.643<.001.00531
CNSASGR2 →+0.141+4.034<.001.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 38 associations by consensus.

OR52E2 by ABCG1 expression — BLOOD_Lymphoma

Box plot of OR52E2 in ABCG1-low vs ABCG1-high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration