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: 11296 ( Case ID: 13496 )
    Disease: Prostate Cancer ( DOID: 14617 ) All events related to this disease.
    Event Information
    Precision: B
    Chromosome Rearrangement Type: Deletion
    Chromosome: 14
    Karyotype: del(14)(q21.1q23.2)
    Breakpoints Information:
    First Breakpoint:
    Location: q21.1
    This breakpoint occurs in intron4 of XM_002343299.1.
    Second Breakpoint:
    Location: q23.2
    This breakpoint occurs in intron1 of NM_001437.
    Length of Deletion Segment is 117kb.
    Junction Sequence is Unavailable.
    Experimental Method: FISH, PCR
    Reference Information
    PubMed ID: 18794142
    Authors: Hermans KG,van der Korput HA,van Marion R,van de Wijngaart DJ,Ziel-van der Made A,Dits NF,Boormans JL,van der Kwast TH,van Dekken H,Bangma CH,Korsten H,Kraaij R,Jenster G,Trapman J
    Journal: Cancer research
    Go to Genome Browser ( Click the image )