SETDB1

Across TCGA cell cohorts, SETDB1 mutation is significantly associated with the RNA expression of many other genes, with 47 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible SETDB1-associated genes across cancer lineages are RGR, OR13F1, and DIPK1C. Each is linked with SETDB1 in more than 1 cancer types. Because this analysis shows association rather than direction, both SETDB1-to-partner and partner-to-SETDB1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RGR grouped by SETDB1-low versus SETDB1-high in BLOOD_Leukemia.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETDB1→partner) and Y-score (partner→SETDB1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner gene	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BLOOD_Leukemia	RGR →	+0.019	+3.269	.001	.007	3	2
BLOOD_Myeloma	OR13F1 →	+0.069	+3.906	<.001	.009	3	1
BLOOD_Myeloma	DIPK1C →	+0.015	+3.906	.004	.009	3	1
BLOOD_Myeloma	OR10Z1 →	+0.018	+4.285	.001	.003	3	1
BLOOD_Myeloma	SLCO1B7 →	+0.029	+3.906	.001	.009	3	1
SKIN	OR1L3 →	+0.029	+5.415	<.001	.004	3	1

Each partner links to its Q-omics profile. Showing the 6 strongest of 47 associations by consensus.

RGR by SETDB1 expression — BLOOD_Leukemia

Explore this box plot interactively →