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Related Concept Videos

Huntington Disease l: Introduction01:21

Huntington Disease l: Introduction

Huntington disease or HD is a progressive, fatal neurodegenerative disorder inherited in an autosomal dominant pattern.PathophysiologyIt is caused by expansion of the CAG trinucleotide repeat in the HTT gene on chromosome 4 (4p16.3), producing an abnormal huntingtin protein with an expanded polyglutamine tract. This misfolded protein disrupts cellular function, leading to neuronal death. Normal alleles have ≤26 repeats, 27–35 are intermediate (risk of expansion), 36–39 show reduced penetrance,...

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In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
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Huntington's disease research roster data base support with MEGADATS-3M.

J M Gersting, P M Conneally, E A Yount

    Journal of Medical Systems
    |June 1, 1984
    PubMed
    Summary

    The MEGADATS-3M system facilitates the collection, storage, and visualization of human family pedigree data. This medical genetics database supports research, including the Huntington

    Area of Science:

    • Medical Genetics
    • Bioinformatics
    • Data Management

    Background:

    • Collecting and managing human family pedigree data is crucial for genetic research.
    • Existing systems may lack efficiency in data handling and visualization.
    • The need for a robust system to support large-scale genetic studies, such as those for Huntington's disease, is evident.

    Purpose of the Study:

    • To describe the development and features of the MEGADATS (MEdical Genetics Acquisition and DAta Transfer System) database.
    • To highlight the capabilities of the latest version, MEGADATS-3M, including its microcomputer implementation.
    • To demonstrate the system's application in supporting critical research projects like the Huntington's disease research roster.

    Main Methods:

    • Development of a comprehensive database system for medical genetics data.

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  • Implementation of data collection, storage, retrieval, and plotting functionalities.
  • Focus on the MEGADATS-3M microcomputer version and its specific applications.
  • Main Results:

    • Successful development of the MEGADATS-3M system for managing human family pedigrees.
    • Demonstration of data input and pedigree plotting capabilities.
    • Successful integration of MEGADATS-3M into the Huntington's disease research roster project.

    Conclusions:

    • MEGADATS-3M provides an effective solution for collecting, storing, retrieving, and visualizing human family pedigree data.
    • The system's microcomputer version enhances accessibility and usability for genetic research.
    • MEGADATS-3M is a valuable tool for supporting genetic disease research initiatives.