Across TCGA cell cohorts, EFHC2 mutation is significantly associated with the RNA expression of many other genes, with 32 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible EFHC2-associated genes across cancer lineages are OR6J1, TEX13A, and PNMA6F. Each is linked with EFHC2 in more than 1 cancer types. Because this analysis shows association rather than direction, both EFHC2-to-partner and partner-to-EFHC2 results are reported.

Each partner links to its own Q-omics profile.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (EFHC2→partner) and Y-score (partner→EFHC2) 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_Lymphoma	OR6J1 →	+0.006	+5.643	<.001	.002	3	2
BLOOD_Lymphoma	TEX13A →	+0.036	+5.643	<.001	.002	3	2
LUNG_NSCLC_LUAD	PNMA6F →	+0.012	+4.887	<.001	.009	3	2
BLOOD_Lymphoma	BMP15 →	+0.029	+5.643	<.001	.002	3	1
BLOOD_Lymphoma	CLRN1 →	+0.012	+4.867	<.001	.009	3	1
BLOOD_Lymphoma	POTED →	+1.083	+4.867	<.001	.009	3	1

Each partner links to its Q-omics profile. Showing the 6 strongest of 32 associations by consensus.

Exploration

EFHC2 survival (RNA) · tumor vs normal (RNA) · all EFHC2 data types