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The potential of polygenic scores to improve cost and efficiency of clinical trials

Author

Listed:
  • Akl C. Fahed

    (Massachusetts General Hospital
    Broad Institute of Harvard and MIT
    Harvard Medical School)

  • Anthony A. Philippakis

    (Broad Institute of MIT and Harvard
    Broad Institute of MIT and Harvard)

  • Amit V. Khera

    (Massachusetts General Hospital
    Broad Institute of Harvard and MIT
    Harvard Medical School
    Verve Therapeutics)

Abstract

Polygenic scores can identify individuals with high disease risk based on inborn DNA variation. We explore their potential to enrich clinical trials by identifying individuals based on higher risk of disease (‘prognostic enrichment’), or increased probability of benefit (‘predictive enrichment’).

Suggested Citation

  • Akl C. Fahed & Anthony A. Philippakis & Amit V. Khera, 2022. "The potential of polygenic scores to improve cost and efficiency of clinical trials," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30675-z
    DOI: 10.1038/s41467-022-30675-z
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    References listed on IDEAS

    as
    1. Eric McDade & Randall J. Bateman, 2017. "Stop Alzheimer’s before it starts," Nature, Nature, vol. 547(7662), pages 153-155, July.
    2. Akl C. Fahed & Minxian Wang & Julian R. Homburger & Aniruddh P. Patel & Alexander G. Bick & Cynthia L. Neben & Carmen Lai & Deanna Brockman & Anthony Philippakis & Patrick T. Ellinor & Christopher A. , 2020. "Polygenic background modifies penetrance of monogenic variants for tier 1 genomic conditions," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
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    Cited by:

    1. Daniel J. Benjamin & David Cesarini & Patrick Turley & Alexander Strudwick Young, 2024. "Social-Science Genomics: Progress, Challenges, and Future Directions," NBER Working Papers 32404, National Bureau of Economic Research, Inc.

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