SLC1A2

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

Across TCGA cell cohorts, SLC1A2 mutation is significantly associated with the RNA expression of many other genes, with 22 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible SLC1A2-associated genes across cancer lineages are SPATA19, C20orf85, and BRDT. Each is linked with SLC1A2 in more than 1 cancer types. Because this analysis shows association rather than direction, both SLC1A2-to-partner and partner-to-SLC1A2 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SPATA19 grouped by SLC1A2-low versus SLC1A2-high in KIDNEY.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SLC1A2→partner) and Y-score (partner→SLC1A2) 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
KIDNEYSPATA19 →+0.036+5.000<.001.00531
BLOOD_LeukemiaC20orf85 →+0.033+4.384<.001.00631
BLOOD_LeukemiaBRDT →+0.172+4.342<.001.00231
BLOOD_LeukemiaUNC45B →+0.150+4.408<.001.00131
BLOOD_LeukemiaSCN2B →+0.193+4.133<.001.00331
BLOOD_LeukemiaVWC2L →+0.016+4.339<.001.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 22 associations by consensus.

SPATA19 by SLC1A2 expression — KIDNEY

Box plot of SPATA19 in SLC1A2-low vs SLC1A2-high samples in KIDNEY.

Explore this box plot interactively →

Exploration