• Population genetic screening shown to ef

    From ScienceDaily@1337:3/111 to All on Mon Jul 27 21:30:32 2020
    Population genetic screening shown to efficiently identify increased
    risk for inherited disease

    Date:
    July 27, 2020
    Source:
    Desert Research Institute
    Summary:
    Researchers suggest that community-based genetic screening has
    the potential to efficiently identify individuals who may be at
    increased risk for three common inherited (CDC Tier 1) genetic
    conditions known to cause several forms of cancer and increased
    risk for heart disease or stroke.



    FULL STORY ==========================================================================
    In a new study published today in the journal Nature Medicine, researchers behind the Healthy Nevada Project(R) suggest that community-based genetic screening has the potential to efficiently identify individuals who may
    be at increased risk for three common inherited genetic conditions known
    to cause several forms of cancer and increased risk for heart disease
    or stroke.


    ==========================================================================
    In 2018, the Healthy Nevada Project(R) (the largest, community-based
    population health study combining genetic, clinical, environmental
    and social data) started notifying consenting study participants who
    have certain genetic variants which predispose them to the Centers for
    Disease Control and Prevention (CDC) Tier 1 genetic conditions. The
    study focused on identifying carriers of these conditions, which include Hereditary Breast and Ovarian Cancer, Lynch Syndrome, and Familial Hypercholesterolemia, because they are the most common conditions and
    early detection and treatment could significantly lower morbidity and mortality.

    Initial results from almost 27,000 study participants showed that 90%
    of carriers of the CDC Tier 1 genetic conditions were not previously
    identified in a clinical setting. The authors conclude that population
    genetic screening would identify at-risk carriers not identified during
    routine care.

    "Our first goal was to deliver actionable health data back to the
    participants of the study and understand whether or not broad population screening of CDC Tier 1 genomic conditions was a practical tool to
    identify at-risk individuals," explained Joseph Grzymski, Ph.D., the
    principal investigator of the Healthy Nevada Project(R), a research
    professor at the Desert Research Institute (DRI), chief scientific
    officer for Renown Health and lead author of the study.

    "Now, two years into doing that, it is clear that the clinical guidelines
    for detecting risk in individuals are too narrow and miss too many at
    risk individuals." Within the group of 26,906 Healthy Nevada Project(R) participants that Grzymski's research team studied, 358 (1.33%) were
    carriers for CDC Tier 1 conditions. However, only 25% of those individuals
    met clinical guidelines for genetic screening. Additionally, more than
    20% of the carriers already had a diagnosis of disease relevant to their underlying genetic condition.

    "We're at a point now where it's possible to do clinical-grade genetic screening at population-scale," added James Lu, M.D. Ph.D., co-founder and chief scientific officer of Helix and senior co-author of the study. "What
    this study demonstrates is the potential impact of doing so. By making
    genetic screening available more broadly, we can help the millions of
    Americans who are unaware that they are living at increased risk for
    highly actionable, genetic conditions take action." Most notably,
    the study found that of the 273 participants who were carriers of the
    CDC Tier 1 genetic conditions and had clinical record information,
    only 22 individuals showed any previous suspicion of their underlying
    genetic conditions.

    "For the first time, we are providing information at the individual level
    so study participants can make lifesaving changes to reduce their risk
    based on their genetics," said Anthony Slonim, M.D., Dr.PH., FACHE,
    president and CEO of Renown Health and co-director of the Project(R)
    study. "We're conducting research on the community level to develop leading-edge research on health determinants for entire neighborhoods,
    states and eventually, the country.

    Returning these results allows us to understand the prevalence of
    genetically programmed diseases and illnesses that we have here in Nevada
    and ensure we are providing the best prevention and care plans. For the individual, the return of results can be lifechanging." According to the
    CDC, early detection and intervention of the Tier 1 genetic conditions
    could have a meaningful potential for clinical actionability and a
    positive impact on public health.

    The Healthy Nevada Project(R), which launched in 2016, offers free
    genetic testing to every Nevadan, aged 18 and older, interested in
    learning more about their health and genetic profile. With more than
    50,000 study participants enrolled in four years, the Healthy Nevada
    Project(R) has become the fastest- enrolling genetic study in the world.


    ========================================================================== Story Source: Materials provided by Desert_Research_Institute. Note:
    Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. J. J. Grzymski, G. Elhanan, J. A. Morales Rosado, E. Smith, K. A.

    Schlauch, R. Read, C. Rowan, N. Slotnick, S. Dabe, W. J. Metcalf, B.

    Lipp, H. Reed, L. Sharma, E. Levin, J. Kao, M. Rashkin, J. Bowes, K.

    Dunaway, A. Slonim, N. Washington, M. Ferber, A. Bolze, J. T. Lu.

    Population genetic screening efficiently identifies carriers
    of autosomal dominant diseases. Nature Medicine, 2020; DOI:
    10.1038/s41591-020-0982-5 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/07/200727114737.htm

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