Literature DB >> 24194011

Power of tests for QTL detection using replicated progenies derived from a diallel cross.

A Rebai1, B Goffinet.   

Abstract

In crop species, most QTL (quantitative trait loci) mapping strategies use segregating populations derived from an initial cross between two lines. However, schemes including more than two parents could also be used. We propose an approach using a high-density restriction fragment length polymorphism (RFLP) map established on six F 2 populations derived from diallel crosses among four inbred lines and the phenotypic performances of two types of replicated progenies (F 3 and topcross). The QTL is supposed to be on the marker locus considered. Three linear model tests for the detection of QTL effects (T 1, T 2 and T 3) are described and their power studied for the two types of progeny. T 1 tests the global genetic effects of the QTL (additivity and dominance) and T 2 tests only additive effects assuming dominance is absent when it could exist. The models of these two tests assume that the main effects of QTL alleles are constant in different genetic backgrounds. The additive model of test T 3 considers the six F 2 populations independently, and T 3 is the equivalent of the classical mean comparison test if we neglect dominance; it uses only contrasts between the homozygote marker classes. The results show that T 2 is much more powerful than T 3. The power of T 1 and T 2 depends on the relative sizes of the additive and dominance effects, and their comparison is not easy to establish. Nevertheless, T 2 seems to be the more powerful in most situations, indicating that it is often more interesting to ignore dominance when testing for a QTL effect. For a given size of genetic effects, the power is affected by the total number of individuals genotyped in F 2 and the recombination rate between the marker locus and the putative QTL. The approach presented in this paper has some drawbacks but could be easily generalized to other sizes of diallels and different progeny types.

Year:  1993        PMID: 24194011     DOI: 10.1007/BF00211055

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  18 in total

1.  Restriction fragment length polymorphism markers in relation to quantitative characters.

Authors:  T H Ellis
Journal:  Theor Appl Genet       Date:  1986-04       Impact factor: 5.699

2.  Detection of linkage between quantitative trait loci and restriction fragment length polymorphisms using inbred lines.

Authors:  S P Simpson
Journal:  Theor Appl Genet       Date:  1989-06       Impact factor: 5.699

3.  Mapping quantitative trait loci using molecular marker linkage maps.

Authors:  S J Knapp; W C Bridges; D Birkes
Journal:  Theor Appl Genet       Date:  1990-05       Impact factor: 5.699

4.  Molecular-marker-facilitated investigations of quantitative trait loci in maize : 4. Analysis based on genome saturation with isozyme and restriction fragment length polymorphism markers.

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Journal:  Theor Appl Genet       Date:  1992-04       Impact factor: 5.699

5.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

6.  On the detection and estimation of linkage between a locus influencing a quantitative character and a marker locus.

Authors:  S D Jayakar
Journal:  Biometrics       Date:  1970-09       Impact factor: 2.571

7.  Molecular-marker-facilitated investigations of quantitative-trait loci in maize. I. Numbers, genomic distribution and types of gene action.

Authors:  M D Edwards; C W Stuber; J F Wendel
Journal:  Genetics       Date:  1987-05       Impact factor: 4.562

8.  Maximum likelihood techniques for the mapping and analysis of quantitative trait loci with the aid of genetic markers.

Authors:  J I Weller
Journal:  Biometrics       Date:  1986-09       Impact factor: 2.571

9.  Linkage analysis of quantitative traits in an interspecific cross of tomato (lycopersicon esculentum x lycopersicon pimpinellifolium) by means of genetic markers.

Authors:  J I Weller; M Soller; T Brody
Journal:  Genetics       Date:  1988-02       Impact factor: 4.562

10.  Detection of linkage between marker loci and loci affecting quantitative traits in crosses between segregating populations.

Authors:  J S Beckmann; M Soller
Journal:  Theor Appl Genet       Date:  1988-08       Impact factor: 5.699

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  36 in total

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Journal:  Theor Appl Genet       Date:  2004-01-23       Impact factor: 5.699

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Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

6.  Genetic analysis of resistance to yellow rust in hexaploid wheat using a mixture model for multiple crosses.

Authors:  M J Christiansen; B Feenstra; I M Skovgaard; S B Andersen
Journal:  Theor Appl Genet       Date:  2006-01-05       Impact factor: 5.699

7.  Using quantitative trait loci results to discriminate among crosses on the basis of their progeny mean and variance.

Authors:  Shengqiang Zhong; Jean-Luc Jannink
Journal:  Genetics       Date:  2007-07-29       Impact factor: 4.562

8.  Bayesian analysis of genetic architecture of quantitative trait using data of crosses of multiple inbred lines.

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Journal:  Genetica       Date:  2008-02-16       Impact factor: 1.082

9.  Genetic design and statistical power of nested association mapping in maize.

Authors:  Jianming Yu; James B Holland; Michael D McMullen; Edward S Buckler
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

10.  Association mapping in multiple segregating populations of sugar beet (Beta vulgaris L.).

Authors:  Benjamin Stich; Albrecht E Melchinger; Martin Heckenberger; Jens Möhring; Axel Schechert; Hans-Peter Piepho
Journal:  Theor Appl Genet       Date:  2008-08-22       Impact factor: 5.699

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