Literature DB >> 18060433

Comments on the entropy-based transmission/disequilibrium test.

Warren Ewens, Mingyao Li.   

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.

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Year:  2007        PMID: 18060433     DOI: 10.1007/s00439-007-0450-z

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  3 in total

1.  An entropy-based statistic for genomewide association studies.

Authors:  Jinying Zhao; Eric Boerwinkle; Momiao Xiong
Journal:  Am J Hum Genet       Date:  2005-05-09       Impact factor: 11.025

2.  An entropy-based genome-wide transmission/disequilibrium test.

Authors:  Jinying Zhao; Eric Boerwinkle; Momiao Xiong
Journal:  Hum Genet       Date:  2007-02-13       Impact factor: 4.132

3.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

  3 in total
  1 in total

Review 1.  Family-based designs for genome-wide association studies.

Authors:  Jurg Ott; Yoichiro Kamatani; Mark Lathrop
Journal:  Nat Rev Genet       Date:  2011-06-01       Impact factor: 53.242

  1 in total

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