IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v8y2009i1n44.html
   My bibliography  Save this article

Transmission Disequilibrium Test Power and Sample Size in the Presence of Locus Heterogeneity

Author

Listed:
  • Chen Chuanwen

    (Rutgers University)

  • Yang Guang

    (Rutgers University)

  • Buyske Steven

    (Rutgers University)

  • Matise Tara

    (Rutgers University)

  • Finch Stephen J

    (Stony Brook University)

  • Gordon Derek

    (Rutgers University)

Abstract

Locus heterogeneity is one of the most important issues in gene mapping and can cause significant reductions in statistical power for gene mapping, yet no research to date has provided power and sample size calculations for family-based association methods in the presence of locus heterogeneity. The purpose of this research is three-fold: (i) to provide an analytic solution to the incorporation of locus heterogeneity into power and sample size calculations for the TDT statistic; (ii) to verify our analytic solution with simulations; and (iii) to study how different factors affect sample size requirement for the TDT in the presence of locus heterogeneity.The detection of association in the presence of locus heterogeneity requires a greater sample size than in its absence. This increase is independent of the prevalence of the disease. In addition, as the proportion of families unlinked to the disease locus increases, the sample size necessary to maintain constant power increases. Finally, as the effect size of the disease locus increases, the sample size necessary to detect association decreases in the presence of locus heterogeneity. We provide freely available software that can perform these calculations.

Suggested Citation

  • Chen Chuanwen & Yang Guang & Buyske Steven & Matise Tara & Finch Stephen J & Gordon Derek, 2009. "Transmission Disequilibrium Test Power and Sample Size in the Presence of Locus Heterogeneity," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 8(1), pages 1-18, October.
  • Handle: RePEc:bpj:sagmbi:v:8:y:2009:i:1:n:44
    DOI: 10.2202/1544-6115.1501
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1544-6115.1501
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1544-6115.1501?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.

    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:8:y:2009:i:1:n:44. 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.