IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-30675-z.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-30675-z
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-30675-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shaan Khurshid & Julieta Lazarte & James P. Pirruccello & Lu-Chen Weng & Seung Hoan Choi & Amelia W. Hall & Xin Wang & Samuel F. Friedman & Victor Nauffal & Kiran J. Biddinger & Krishna G. Aragam & Pu, 2023. "Clinical and genetic associations of deep learning-derived cardiac magnetic resonance-based left ventricular mass," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Christine Rother & Ruth E. Uhlmann & Stephan A. Müller & Juliane Schelle & Angelos Skodras & Ulrike Obermüller & Lisa M. Häsler & Marius Lambert & Frank Baumann & Ying Xu & Carina Bergmann & Giulia Sa, 2022. "Experimental evidence for temporal uncoupling of brain Aβ deposition and neurodegenerative sequelae," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Atlas Khan & Ning Shang & Jordan G. Nestor & Chunhua Weng & George Hripcsak & Peter C. Harris & Ali G. Gharavi & Krzysztof Kiryluk, 2023. "Polygenic risk alters the penetrance of monogenic kidney disease," Nature Communications, Nature, vol. 14(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-30675-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.