GDAP1L1

Across TCGA cell cohorts, GDAP1L1 RNA expression is significantly associated with the go_rna of many other GO terms, with 1,333 significant associations in total. LUNG_SCLC shows the largest number of these associations.

The most reproducible GDAP1L1-associated GO terms across cancer lineages are Negative regulation of translation in response to endoplasmic reticulum stress, Formate biosynthetic process, and Regulation of TORC1 signaling. Each is linked with GDAP1L1 in more than 4 cancer types. Because this analysis shows association rather than direction, both GDAP1L1-to-partner and partner-to-GDAP1L1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, Negative regulation of translation in response to endoplasmic reticulum stress grouped by GDAP1L1-low versus GDAP1L1-high in BLOOD_Leukemia.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (GDAP1L1→partner) and Y-score (partner→GDAP1L1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.

Lineage	Partner GO term	X-score	Y-score	p(X)	p(Y)	Sampling consensus	Lineage consensus
BLOOD_Leukemia	Negative regulation of translation in response to endoplasmic reticulum stress →	+0.111	+0.533	.004	<.001	3	5
BLOOD_Leukemia	Formate biosynthetic process →	+0.080	+0.715	<.001	<.001	3	4
LARGE_INTESTINE	Regulation of TORC1 signaling →	+0.032	+0.192	.002	.002	2	5
LUNG_NSCLC_LUAD	DNA damage response, signal transduction by p53 class mediator →	+0.056	+0.096	<.001	<.001	3	4
BLOOD_Leukemia	Response to endoplasmic reticulum stress →	+0.053	+0.830	<.001	<.001	3	4
LUNG_SCLC	mRNA catabolic process →	+0.044	+2.515	.003	<.001	3	4

Each partner links to its Q-omics profile. Showing the 6 strongest of 1,333 associations by consensus.

Negative regulation of translation in response to endoplasmic reticulum stress by GDAP1L1 expression — BLOOD_Leukemia

Explore this box plot interactively →