An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait loci

Fei Zou, Jason P. Fine, Jianhua Hu, D. Y. Lin

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Assessing genome-wide statistical significance is an important and difficult problem in multipoint linkage analysis. Due to multiple tests on the same genome, the usual pointwise significance level based on the chi-square approximation is inappropriate. Permutation is widely used to determine genome-wide significance. Theoretical approximations are available for simple experimental crosses. In this article, we propose a resampling procedure to assess the significance of genome-wide QTL mapping for experimental crosses. The proposed method is computationally much less intensive than the permutation procedure (in the order of 102 or higher) and is applicable to complex breeding designs and sophisticated genetic models that cannot be handled by the permutation and theoretical methods. The usefulness of the proposed method is demonstrated through simulation studies and an application to a Drosophila backcross.

Original languageEnglish (US)
Pages (from-to)2307-2316
Number of pages10
JournalGenetics
Volume168
Issue number4
DOIs
StatePublished - Dec 1 2004

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Quantitative Trait Loci
Genome
Genetic Models
Drosophila
Breeding

ASJC Scopus subject areas

  • Genetics

Cite this

An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait loci. / Zou, Fei; Fine, Jason P.; Hu, Jianhua; Lin, D. Y.

In: Genetics, Vol. 168, No. 4, 01.12.2004, p. 2307-2316.

Research output: Contribution to journalArticle

Zou, Fei ; Fine, Jason P. ; Hu, Jianhua ; Lin, D. Y. / An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait loci. In: Genetics. 2004 ; Vol. 168, No. 4. pp. 2307-2316.
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