CHORDC1

RNA expression — cross-omics
Cross-omicsRNA → FUNCTION-RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, CHORDC1 RNA expression is significantly associated with the go_rna of many other GO terms, with 3,688 significant associations in total. BLOOD_Leukemia shows the largest number of these associations.

The most reproducible CHORDC1-associated GO terms across cancer lineages are CENP-A containing chromatin assembly, Kinetochore assembly, and Centromeric sister chromatid cohesion. Each is linked with CHORDC1 in more than 16 cancer types. Because this analysis shows association rather than direction, both CHORDC1-to-partner and partner-to-CHORDC1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CENP-A containing chromatin assembly grouped by CHORDC1-low versus CHORDC1-high in BLOOD_Myeloma.

RNA expression associated GO terms by consensus

Ranked by combined sampling and lineage consensus. X-score (CHORDC1→partner) and Y-score (partner→CHORDC1) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner GO termX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_MyelomaCENP-A containing chromatin assembly →+0.204+1.036.002.001317
BLOOD_MyelomaKinetochore assembly →+0.164+1.108.009.001316
KIDNEYCentromeric sister chromatid cohesion →+0.152+0.961.002.005217
KIDNEYProtein localization to condensed chromosome →+0.177+1.142<.001<.001316
SOFT_TISSUEEndonucleolytic cleavage of tricistronic rRNA transcript (SSU-rRNA, 5.8S rRNA, LSU-rRNA) →+0.096+1.254<.001<.001316
KIDNEYChromosome localization →+0.116+1.065<.001.001315
Each partner links to its Q-omics profile. Showing the 6 strongest of 3,688 associations by consensus.

CENP-A containing chromatin assembly by CHORDC1 expression — BLOOD_Myeloma

Box plot of CENP-A containing chromatin assembly in CHORDC1-low vs CHORDC1-high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration