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Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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Related Experiment Video

Updated: Jul 4, 2026

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Large-scale functional annotation establishes a reference framework for human LRRK2 variants.

Anthea Cheung, Neringa Pratuseviciute, Kirsten Black

    Medrxiv : the Preprint Server for Health Sciences
    |July 3, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Pathogenic variants in leucine-rich repeat kinase 2 (LRRK2) cause Parkinson's disease. This study functionally annotates LRRK2 variants, revealing kinase activation patterns to aid in variant interpretation and therapy development.

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    Area of Science:

    • Genetics
    • Neuroscience
    • Molecular Biology

    Background:

    • Pathogenic variants in leucine-rich repeat kinase 2 (LRRK2) are a common genetic cause of Parkinson's disease (PD).
    • Understanding LRRK2 variant function is crucial for developing targeted therapies, but the expanding variant list presents interpretation challenges.

    Purpose of the Study:

    • To functionally characterize over 350 LRRK2 coding variants.
    • To establish a framework for interpreting LRRK2 variants using kinase activity and genetic/clinical data.

    Main Methods:

    • Utilized a standardized cellular assay measuring Rab10 phosphorylation to assess LRRK2 kinase activity.
    • Integrated functional data with curated genetic and clinical annotations from the Movement Disorders Society Genetic Mutation Database (MDSGene).

    Main Results:

    • Demonstrated varying magnitudes of LRRK2 kinase activation across different variants, including known pathogenic mutations.
    • Identified that activating variants are distributed across LRRK2, with a concentration in the ROC-COR hub.
    • Observed a correlation between functional effect sizes and pathway activation in patient-derived immune cells.

    Conclusions:

    • Established that all known pathogenic LRRK2 variants exhibit increased kinase activity.
    • Provided a functional framework supporting the use of kinase activation data for variant classification under ACMG guidelines.
    • Highlighted the potential for LRRK2 functional assays to aid in Parkinson's disease research and therapeutic strategies.