DECIPHER

DECIPHER provides a database (Database of Chromosomal Imbalance and Phenotype in Humans using Ensembl Resources) for deposition, analysis, and sharing of plausibly pathogenic sequence and copy-number variants linked to well-phenotyped patients to support clinical interpretation and research of rare genetic disorders.


Key Features:

  • Secure Data Deposition: Supports secure submission and controlled sharing of genomic data with anonymization and consent, including approximately 18,000 patients who consented to public sharing and ~25,000 privately shared records.
  • Variant Analysis Tools: Provides tools to analyze sequence and copy-number variants and to facilitate genotype–phenotype comparisons for clinical interpretation.
  • Matchmaking Capabilities: Identifies patients with similar genotype–phenotype profiles to aid diagnosis of previously undiagnosed syndromes and discovery of new disease genes.
  • Extensive Database: Aggregates contributions from roughly 250 registered centers encompassing over 51,500 patient records.
  • Global Collaboration: Enables data exchange among clinical centers and researchers to support collaborative rare-disease investigations and consortia activity.
  • Research Contributions: Has supported the publication of over 700 peer-reviewed scientific articles.

Scientific Applications:

  • Clinical Interpretation: Assisting clinicians in interpreting sequence and copy-number variation data to diagnose rare genetic disorders.
  • Research and Discovery: Supporting identification of novel genotype–phenotype associations and the discovery of new syndromes and disease genes.
  • Data Sharing and Collaboration: Facilitating controlled sharing and comparative analyses of genomic and phenotypic data across a global community of clinicians and researchers.

Methodology:

Employs advanced bioinformatics tools to analyze genomic variants by integrating sequence and copy-number variation data with phenotypic information and by comparing new patient data with existing database entries to identify genotype–phenotype correlations.

Topics

Collections

Details

License:
Other
Maturity:
Mature
Cost:
Free of charge (with restrictions)
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
5/11/2019
Last Updated:
3/7/2023

Operations

Data Inputs & Outputs

Deposition

Outputs

    Publications

    Chatzimichali EA, Brent S, Hutton B, Perrett D, Wright CF, Bevan AP, Hurles ME, Firth HV, Swaminathan GJ. Facilitating Collaboration in Rare Genetic Disorders Through Effective Matchmaking in DECIPHER. Human Mutation. 2015;36(10):941-949. doi:10.1002/humu.22842. PMID:26220709. PMCID:PMC4832335.

    PMID: 26220709
    PMCID: PMC4832335
    Funding: - Wellcome Trust: WT077008

    Foreman J, Brent S, Perrett D, Bevan A, Hunt S, Cunningham F, Hurles M, Firth H. DECIPHER: Supporting the interpretation and sharing of rare disease phenotype-linked variant data to advance diagnosis and research. Unknown Journal. 2021. doi:10.22541/au.163389792.27006605/v1.

    Links