IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v14y2015i5p481-495n4.html
   My bibliography  Save this article

Likelihood ratio and score burden tests for detecting disease-associated rare variants

Author

Listed:
  • Lee Woojoo

    (Department of Statistics, Inha University, 253 Yonghyun-dong, Nam-gu, Incheon, 402-751, Korea)

  • Lee Donghwan

    (Department of Statistics, Ewha Womans University, Seoul, 120-750, Korea)

  • Pawitan Yudi

    (Department of Medical Epidemiology, PO Box 281 Karolinska Institutet, 171 77 Stockholm, Sweden)

Abstract

This paper presents two simple rare variant (RV) burden tests based on the likelihood ratio test (LRT) and score statistics. LRT is one of the commonly used tests in practical data analysis, and we show here that there is no reason to ignore it in testing RV associations. With the Bartlett correction, we have numerically shown that the LRT-based test can have a reliable distribution. Our simulation study indicates that if the non-null variants are as common as the null variants, then the LRT and score statistics have comparable performance to the C-alpha test, and if the former is rarer than the null variants, then they outperform the C-alpha test.

Suggested Citation

  • Lee Woojoo & Lee Donghwan & Pawitan Yudi, 2015. "Likelihood ratio and score burden tests for detecting disease-associated rare variants," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 14(5), pages 481-495, November.
    • Handle: RePEc:bpj:sagmbi:v:14:y:2015:i:5:p:481-495:n:4
    DOI: 10.1515/sagmb-2014-0089
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/sagmb-2014-0089
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.
    File URL: https://libkey.io/10.1515/sagmb-2014-0089?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:bpj:sagmbi:v:14:y:2015:i:5:p:481-495:n:4. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.