A modified revisited haseman-elston method to further improve power

Tao Wang, Robert C. Elston

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

The original and revisited Haseman-Elston methods are simple robust methods to detect linkage, but neither is uniformly optimal in terms of power. In this report, we propose a simple modification of the revisited Haseman-Elston method that retains the simplicity and robustness properties, but increases its power. We demonstrate theoretically that the modification can be more powerful than the optimally weighted Haseman-Elston method when the sibship mean can be correctly specified. We then examine the properties of this modification by simulation when the sibship mean is replaced by its best linear unbiased predictor. The simulation results indicate that this modification maintains good control over type I error, even in the case of larger sibships, and that the empirical power of this modification is similar to that of the optimally weighted Haseman-Elston method in most cases.

Original languageEnglish (US)
Pages (from-to)109-116
Number of pages8
JournalHuman Heredity
Volume57
Issue number2
DOIs
StatePublished - 2004
Externally publishedYes

Keywords

  • Haseman and Elston
  • Model free linkage analysis
  • Power
  • Quantitative trait loci

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

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