MAY 14, 2015 12:00 PM PDT

Make your clinical sequencing count: technical and content decisions for improved disease targeted panels

Speaker
  • Director of the Translational Genomics Core of Partners HealthCare Personalized Medicine, Harvard Medical School
    Biography
      Sami Amr is the Director of the Translational Genomics Core of Partners HealthCare Personalized Medicine where he feels privileged to work with basic and translational researchers across Partners Healthcare to identify DNA, RNA, and methylation markers and signatures of disease that can help de-convolute underlying mechanisms of pathogenesis as well as be leveraged in diagnostic and clinical assays.

    Abstract

    With current NGS platforms, the boundaries of variant detection and gene content for genetic disease panels has been vastly expanded leading to increases in detection rates. However these platforms also bring different technical and interpretive challenges faced by molecular diagnostic laboratories. Using hearing loss genetic testing as an example, strategies to overcome these challenges will be explored with an emphasis on alleviating the genetic data interpretation burden and improving assay performance. These approaches can lead to faster turnaround times and lower the cost of testing, while lessening the ambiguities of clinical genetic reports. Learning Objectives: 1. Describe technical challenges of targeted gene panel sequencing, such as CNV analysis and pseudogene contamination, and potential solutions that clinical laboratories can implement to retain analytical sensitivity and specificity. 2. Assess clinical panel inclusion for genes using on an evidence based approach, with examples from genes associated with nonsyndromic hearing loss.


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    MAY 14, 2015 12:00 PM PDT

    Make your clinical sequencing count: technical and content decisions for improved disease targeted panels


    Specialty

    Antibodies

    Virology

    Immunology

    Dna Sequencing

    Personalized Medicine

    Clinical Diagnostics

    Immunity

    Cancer Diagnostics

    Immunotherapy

    Bioinformatics

    Flow Cytometry

    Immuno-Oncology

    Gene Expression

    Dna

    Big Data

    Geography

    Europe100%

    Registration Source

    Website Visitors100%

    Job Title

    Student100%

    Organization

    Academic Institution100%


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