About dbCRID

  • dbCRID (Database of Chromosomal Rearrangements In Diseases) is the largest database of curated database of human Chromosome rearrangements and associated diseases.
  • Current release: v 0.9 (06/30/2010).
  • Please direct questions and comments to dbCRID@biolead.org.
  • Related Databases

  • AtlasGeneticsOncology, Atlas of Genetics and Cytogenetics in Oncology and Haematology
  • ChimerDB 2.0, A knowledgebase for fusion genes updated
  • CytoD 1.0, A database of cytogenetic abnormalities.
  • DACRO, A disease-Associated Chromosomal Rearrangements Online.
  • Decipher, , A Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources
  • HYBRIDdb,A database of hybrid genes in the human genome.
  • Mitelman, A database of Chromosome Aberrations and Gene Fusions in Cancer.
  • SKY/M-FISH &CGH, A public platform for investigators to share and compare their molecular cytogenetic data.
  • TICdb, A database of Translocation breakpoints In Cancer.
  • References

  • Kong F, Zhu J, Wu J, Peng J, Wang Y, Wang Q, Fu S, Yuan L and Li T: dbCRID: a database of chromosomal rearrangements in human diseases. Nucleic Acids Res. [PubMed] [Full-text]
  • Event ID: 12192 ( Case ID: 13479 )
    Disease: Prostate Cancer ( DOID: 14617 ) All events related to this disease.
    Event Information
    Precision: A
    Chromosome Rearrangement Type: Reciprocal Translocation
    Chromosome: 17, 21
    Karyotype: t(17;21)(q21.31;q22.3)
    Breakpoints Information:
    First Breakpoint:
    Location: q21.31
    Exact position: Chr17: 41622754bp
    This breakpoint occurs in intron3 of NM_001079675.1.
    Second Breakpoint:
    Location: q22.3
    Exact position: Chr21: 42887960bp
    This breakpoint occurs in intron1 of NM_001135099.1.
    Junction Sequence is Unavailable.
    Experimental Method: RACE, qPCR, FISH
    Reference Information
    PubMed ID: 16585160
    Authors: Tomlins SA,Mehra R,Rhodes DR,Smith LR,Roulston D,Helgeson BE,Cao X,Wei JT,Rubin MA,Shah RB,Chinnaiyan AM
    Journal: Cancer research
    Go to Genome Browser ( Click the image )