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COMUS: Clinician-Oriented locus-specific MUtation detection and deposition System.

Sungwoong Jho1, Byoung-Chul Kim, Ho Ghang

  • 1Korean Bioinformation Center (KOBIC), KRIBB, Daejeon, 305-806, Korea. sucho@kribb.re.kr

BMC Genomics
|December 5, 2009
PubMed
Summary
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A new bioinformatics system, COMUS (Clinician-Oriented locus specific MUtation detection and deposition System), enables automated detection and deposition of disease-causing mutations from patient DNA. This improves the clinical utility of Locus Specific mutation databases (LSDBs).

Area of Science:

  • Bioinformatics
  • Genetics
  • Medical Informatics

Background:

  • Accurate detection of disease-causing mutations is crucial for patient diagnosis, treatment, and prognosis.
  • Existing mutation databases lack automated bioinformatics tools for analyzing raw patient data.
  • A novel Locus Specific mutation Database (LSDB) construction system is needed to integrate mutation detection and data deposition.

Purpose of the Study:

  • To develop a bioinformatics system for automated mutation detection and deposition from patient DNA.
  • To create a clinician-friendly interface for managing mutation data.
  • To enhance the clinical utility of Locus Specific mutation databases.

Main Methods:

  • Developed COMUS (Clinician-Oriented locus specific MUtation detection and deposition System).

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  • Integrated a DNA sequence mutation analysis method for data identification and deposition.
  • Implemented a curation system for variation detection from clinician input data.
  • Utilized hemophilia patient data to create and test the KoHemGene LSDB.

    • Main Results:

    • COMUS provides automated mutation detection and deposition capabilities.
    • The KoHemGene LSDB, built with COMUS, demonstrated a clinician-friendly interface for mutation management.
    • The system successfully processed experimental and clinical data from hemophilia patients.

    Conclusions:

    • COMUS is an effective bioinformatics system for detecting and depositing new mutations from patient DNA.
    • LSDBs developed using COMUS enhance their clinical applicability.
    • COMUS is publicly available at http://www.comus.info.