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Related Experiment Videos

ALOHOMORA: a tool for linkage analysis using 10K SNP array data.

Franz Rüschendorf1, Peter Nürnberg

  • 1Bioinformatics Department, Gene Mapping Center, Max Delbrück Center (MDC) for Molecular Medicine Berlin-Buch, Germany. fruesch@mdc-berlin.de

Bioinformatics (Oxford, England)
|January 14, 2005
PubMed
Summary

ALOHOMORA is a Perl-based software tool that simplifies genome-wide linkage studies using high-density SNP marker panels. It preprocesses data for common linkage programs, enabling advanced linkage scans for various family structures and genetic models.

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Area of Science:

  • Genetics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome-wide linkage studies are crucial for identifying genes associated with diseases.
  • High-density single nucleotide polymorphism (SNP) panels generate large datasets requiring specialized tools.
  • Existing software may not efficiently handle diverse family structures or genetic models.

Purpose of the Study:

  • To introduce ALOHOMORA, a novel software tool for facilitating genome-wide linkage analysis.
  • To enable efficient processing of high-density SNP data for linkage studies.
  • To support state-of-the-art linkage scans across various genetic models and family sizes.

Main Methods:

  • ALOHOMORA converts genotype data into formats compatible with common linkage programs.

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  • The software incorporates standard quality control routines before initiating linkage analysis.
  • It is written in Perl, ensuring broad accessibility and compatibility.

    • Main Results:

    • ALOHOMORA supports linkage scans for both small and large families.
    • The tool accommodates any genetic model, enhancing its versatility.
    • It offers options for utilizing diverse genetic maps and ethnicity-specific allele frequencies.

    Conclusions:

    • ALOHOMORA is a valuable, free software tool for non-commercial research institutions.
    • It streamlines genome-wide linkage studies with high-density SNP data.
    • The software provides graphical outputs of multipoint LOD scores for comprehensive analysis.