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: 10737 ( Case ID: 11123 )
    Disease: Myofascial Pain Dysfunction Syndrome ( DOID: 431 ) All events related to this disease.
    Event Information
    Precision: B
    Chromosome Rearrangement Type: Reciprocal Translocation
    Chromosome: 8, 9
    Karyotype: t(8;9)(p11;q34)
    Breakpoints Information:
    First Breakpoint:
    Location: p11
    This breakpoint occurs in NM_023105.2.
    Second Breakpoint:
    Location: q34
    This breakpoint occurs in NM_007018.4.
    Junction Sequence is Unavailable.
    Experimental Method: G Banding, FISH, Southern blot, RT-PCR
    Reference Information
    PubMed ID: 11550283
    Authors: Sohal J,Chase A,Mould S,Corcoran M,Oscier D,Iqbal S,Parker S,Welborn J,Harris RI,Martinelli G,Montefusco V,Sinclair P,Wilkins BS,van den Berg H,Vanstraelen D,Goldman JM,Cross NC
    Journal: Genes, chromosomes & cancer
    Go to Genome Browser ( Click the image )