Skip to main content
SpringerLink
Log in

Comments on the entropy-based transmission/disequilibrium test

  • Letter to the Editors
  • Published:
Human Genetics Aims and scope Submit manuscript

Abstract

It has recently been claimed in this journal (Zhao et al. in Hum Genet 121:357–367, 2007) that a so-called “entropy-based” TDT test has improved power over the standard TDT test of Spielman et al. (Am J Hum Genet 52:506–516, 1993). We show that this claim is contradicted by standard statistical theory as well as by our simulation results. We show that the incorrect claim arises because of inappropriate assumptions, and also show that the entropy-based statistic has various undesirable properties.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

References

  • Dudewicz EJ, Mishra SN (1988) Modern mathematical statistics. Wiley, New York

    Google Scholar 

  • Lehmann EL (1986) Testing statistical hypotheses. Wiley, New York

    Google Scholar 

  • Spielman RS, McGinnis RE, Ewens WJ (1993) Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM). Am J Hum Genet 52:506–516

    PubMed  CAS  Google Scholar 

  • Zhao J, Boerwinkle E, Xiong M (2005) An entropy-based statistic for genome-wide association studies. Am J Hum Genet 77:27–40

    Article  PubMed  CAS  Google Scholar 

  • Zhao J, Boerwinkle E, Xiong M (2007) An entropy-based genome-wide transmission/disequilibrium test. Hum Genet 121:357–367

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

We thank Richard Spielman for many useful comments and suggestions.

Author information

Authors and Affiliations

  1. Department of Biology, University of Pennsylvania, 324 Leidy Laboratories, Philadelphia, PA, 19104, USA

    Warren Ewens

  2. Department of Biostatistics and Epidemiology, University of Pennsylvania, 624 Blockley Hall, University of Pennsylvania School of Medicine, Philadelphia, PA, 19104, USA

    Mingyao Li

Authors
  1. Warren Ewens
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mingyao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Warren Ewens.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ewens, W., Li, M. Comments on the entropy-based transmission/disequilibrium test. Hum Genet 123, 97–100 (2008). https://doi.org/10.1007/s00439-007-0450-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00439-007-0450-z

Keywords

Search

Navigation