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    Challenges and opportunities for integrating genetic testing into a diagnostic workflow: heritable long QT syndrome as a model

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    Author
    Lubin, Ira M
    Lockhart, Edward R
    Frank, Julie
    See, Vincent Y
    Vashist, Sudhir
    Greene, Carol
    Date
    2019-07-09
    Journal
    Diagnosis (Berlin, Germany)
    Publisher
    Walter de Gruyter GmbH
    Type
    Article
    
    Metadata
    Show full item record
    See at
    https://doi.org/10.1515/dx-2019-0018
    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015124/
    Abstract
    An increasing number of diagnostic evaluations incorporate genetic testing to facilitate accurate and timely diagnoses. The increasing number and complexity of genetic tests continue to pose challenges in deciding when to test, selecting the correct test(s), and using results to inform medical diagnoses, especially for medical professionals lacking genetic expertise. Careful consideration of a diagnostic workflow can be helpful in understanding the appropriate uses of genetic testing within a broader diagnostic workup. The diagnosis of long QT syndrome (LQTS), a life-threatening cardiac arrhythmia, provides an example for this approach. Electrocardiography is the preferred means for diagnosing LQTS but can be uninformative for some patients due to the variable presentation of the condition. Family history and genetic testing can augment physiological testing to inform a diagnosis and subsequent therapy. Clinical and laboratory professionals informed by peer- reviewed literature and professional recommendations constructed a generalized LQTS diagnostic workflow. This workflow served to explore decisions regarding the use of genetic testing for diagnosing LQTS. Understanding the complexities and approaches to integrating genetic testing into a broader diagnostic evaluation is anticipated to support appropriate test utilization, optimize diagnostic evaluation, and facilitate a multidisciplinary approach essential for achieving accurate and timely diagnoses. © 2019 Walter de Gruyter GmbH, Berlin/Boston.
    Rights/Terms
    © 2019 Walter de Gruyter GmbH, Berlin/Boston.
    Keyword
    arrhythmias
    diagnosis
    genetic testing
    long QT syndrome
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/16628
    ae974a485f413a2113503eed53cd6c53
    10.1515/dx-2019-0018
    Scopus Count
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