A Nonparametric Bootstrap Method for Testing Close Linkage vs. Pleiotropy of Coincident Quantitative Trait Loci

A novel method using the nonparametric bootstrap is proposed for testing whether a quantitative trait locus (QTL) at one chromosomal position could explain effects on two separate traits. If the single-QTL hypothesis is accepted, pleiotropy could explain the effect on two traits. If it is rejected,...

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Bibliographic Details
Published in:Genetics (Austin) 1998-10, Vol.150 (2), p.931-943
Main Authors: Lebreton, Claude M, Visscher, Peter M, Haley, Christopher S, Semikhodskii, Andrei, Quarrie, Steve A
Format: Article
Language:English
Subjects:
Computer Simulation
Genetic engineering
Genetic Linkage
Genetic Markers
Genetics
Models, Genetic
Molecular biology
Quantitative Trait, Heritable
Sodium Chloride - pharmacology
Statistics, Nonparametric
Sulfates - pharmacology
Triticum - drug effects
Triticum - genetics
Triticum aestivum
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Summary:A novel method using the nonparametric bootstrap is proposed for testing whether a quantitative trait locus (QTL) at one chromosomal position could explain effects on two separate traits. If the single-QTL hypothesis is accepted, pleiotropy could explain the effect on two traits. If it is rejected, then the effects on two traits are due to linked QTLs. The method can be used in conjunction with several QTL mapping methods as long as they provide a straightforward estimate of the number of QTLs detectable from the data set. A selection step was introduced in the bootstrap procedure to reduce the conservativeness of the test of close linkage vs. pleiotropy, so that the erroneous rejection of the null hypothesis of pleiotropy only happens at a frequency equal to the nominal type I error risk specified by the user. The approach was assessed using computer simulations and proved to be relatively unbiased and robust over the range of genetic situations tested. An example of its application on a real data set from a saline stress experiment performed on a recombinant population of wheat (Triticum aestivum L. ) doubled haploid lines is also provided.
ISSN:0016-6731
1943-2631
1943-2631
DOI:10.1093/genetics/150.2.931