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: 10283 ( Case ID: 10406 )
    Event Information
    Precision: A
    Chromosome Rearrangement Type: Reciprocal Translocation
    Chromosome: 11, 12
    Karyotype: t(11;22)(q23;q11)
    Breakpoints Information:
    First Breakpoint:
    Location: q23.3
    Exact position: Chr11: 116683177bp
    This breakpoint occurs in an intergenic region
    Junction Sequence(5'):
    TATGTATTTATATCTATATTTATATATAATATATATTATATATTTATATAAT
    Junction Sequence(3'):
    AAATATATAATATATATTATATATAAATATAGATATA
    The Junction Sequence is Inferred.
    Note: Green and Blue color indicate 5' and 3' sequence according to the breakpoint.
    Experimental Method: PCR, DNA sequencing
    Reference Information
    PubMed ID: 11511922
    Authors: Tapia-Páez I,Kost-Alimova M,Hu P,Roe BA,Blennow E,Fedorova L,Imreh S,Dumanski JP
    Journal: Human genetics
    Go to Genome Browser ( Click the image )