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Abstract

Current success in detecting complex trait loci in general, and quantitative trait loci (QTLs) using model organisms in particular, has attracted major biological and biomedical interest. The potential ability to identify genes and their function provides opportunities for new diagnostics and treatments of complex genetic diseases. Despite the success in gene mapping, however, cloning of complex trait loci or QTLs is not straightforward. A major obstacle lies in achieving fine mapping resolution for the detected loci. Compared to the rapid development of sophisticated statistical and molecular tools, development and analysis of experimental designs for various stages in QTL mapping experiments have barely been considered. In this study, novel and existing experimental strategies for QTL analysis are presented and evaluated.

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A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

C S Haley, S Knott (1992)

The use of flanking marker methods has proved to be a powerful tool for the mapping of quantitative trait loci (QTL) in the segregating generations derived from crosses between inbred lines. Methods to analyse these data, based on maximum-likelihood, have been developed and provide good estimates of QTL effects in some situations. Maximum-likelihood methods are, however, relatively complex and can be computationally slow. In this paper we develop methods for mapping QTL based on multiple regression which can be applied using any general statistical package. We use the example of mapping in an F(2) population and show that these regression methods produce very similar results to those obtained using maximum likelihood. The relative simplicity of the regression methods means that models with more than a single QTL can be explored and we give examples of two lined loci and of two interacting loci. Other models, for example with more than two QTL, with environmental fixed effects, with between family variance or for threshold traits, could be fitted in a similar way. The ease, speed of application and generality of regression methods for flanking marker analysis, and the good estimates they obtain, suggest that they should provide the method of choice for the analysis of QTL mapping data from inbred line crosses.

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Genetic dissection of complex traits

E Lander, N Schork (1994)

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Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

Z. -B. Zeng (1993)

It is now possible to use complete genetic linkage maps to locate major quantitative trait loci (QTLs) on chromosome regions. The current methods of QTL mapping (e.g., interval mapping, which uses a pair or two pairs of flanking markers at a time for mapping) can be subject to the effects of other linked QTLs on a chromosome because the genetic background is not controlled. As a result, mapping of QTLs can be biased, and the resolution of mapping is not very high. Ideally when we test a marker interval for a QTL, we would like our test statistic to be independent of the effects of possible QTLs at other regions of the chromosome so that the effects of QTLs can be separated. This test statistic can be constructed by using a pair of markers to locate the testing position and at the same time using other markers to control the genetic background through a multiple regression analysis. Theory is developed in this paper to explore the idea of a conditional test via multiple regression analysis. Various properties of multiple regression analysis in relation to QTL mapping are examined. Theoretical analysis indicates that it is advantageous to construct such a testing procedure for mapping QTLs and that such a test can potentially increase the precision of QTL mapping substantially.

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PubMed ID:: 9425894

DOI:: 10.1038/ng0198-19

ScienceOpen disciplines: Chemistry

Keywords: Animals,Chromosome Mapping,Genetics,Humans,Mice,Models, Genetic,Quantitative Trait, Heritable,Research Design

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ScienceOpen disciplines: Chemistry

Keywords: Animals, Chromosome Mapping, Genetics, Humans, Mice, Models, Genetic, Quantitative Trait, Heritable, Research Design

Experimental strategies for the genetic dissection of complex traits in animal models.

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Most cited references 37

A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

Genetic dissection of complex traits

Theoretical basis for separation of multiple linked gene effects in mapping quantitative trait loci.

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