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: 10657 ( Case ID: 11660 )
    Patient Information: A 49-year old female
    Disease: Acute Myelocytic Leukemia ( DOID: 9119 ) All events related to this disease.
    Event Information
    Precision: A
    Chromosome Rearrangement Type: Inversion
    Chromosome: 16
    Karyotype: inv(16)(p13q22)
    Breakpoints Information:
    First Breakpoint:
    Location: p13.11
    Exact position: Chr16: 15815404bp
    This breakpoint occurs in exon32 of NM_001040113.1.
    Second Breakpoint:
    Location: q22
    Exact position: Chr16: 67116211bp
    This breakpoint occurs in exon5 of NM_001755.2.
    Length of Inversion Segment is 53Kb.
    Junction Sequence is Unavailable
    Experimental Method: FISH, DNA sequencing
    Reference Information
    PubMed ID: 18024381
    Authors: Rowe D,Strain L,Lowe C,Jones G
    Journal: Haematologica
    Go to Genome Browser ( Click the image )