Literature DB >> 24178014

QTL analysis: a simple 'marker-regression' approach.

M J Kearsey1, V Hyne.   

Abstract

A method to locate quantitative trait loci (QTL) on a chromosome and to estimate their additive and dominance effects is described. It applies to generations derived from an F1 by selfing or backcrossing and to doubled haploid lines, given that marker genotype information (RFLP, RAPD, etc.) and quantitative trait data are available. The method involves regressing the additive difference between marker genotype means at a locus against a function of the recombination frequency between that locus and a putative QTL. A QTL is located, as by other regression methods, at that point where the residual mean square is minimised. The estimates of location and gene effects are consistent and as reliable as conventional flanking-marker methods. Further applications include the ability to test for the presence of two, or more, linked QTL and to compare different crosses for the presence of common QTL. Furthermore, the technique is straightforward and may be programmed using standard pc-based statistical software.

Year:  1994        PMID: 24178014     DOI: 10.1007/BF00223708

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


  9 in total

1.  Maximum likelihood estimation of linkage between a marker gene and a quantitative trait locus. II. Application to backcross and doubled haploid populations.

Authors:  Z W Luo; M J Kearsey
Journal:  Heredity (Edinb)       Date:  1991-02       Impact factor: 3.821

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

Authors:  C S Haley; S A Knott
Journal:  Heredity (Edinb)       Date:  1992-10       Impact factor: 3.821

3.  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

4.  Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers.

Authors:  O Martínez; R N Curnow
Journal:  Theor Appl Genet       Date:  1992-12       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.  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

7.  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

8.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

9.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

  9 in total
  29 in total

1.  Mapping genes affecting flowering time and frost resistance on chromosome 5B of wheat.

Authors:  B Tóth; G Galiba; E Fehér; J Sutka; J W Snape
Journal:  Theor Appl Genet       Date:  2003-05-07       Impact factor: 5.699

Review 2.  Regression-based quantitative trait loci mapping: robust, efficient and effective.

Authors:  Sara A Knott
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

3.  Joint mapping of quantitative trait loci using F2 populations.

Authors:  W R Wu; W M Li
Journal:  Theor Appl Genet       Date:  1996-11       Impact factor: 5.699

4.  Model fitting and model testing in the method of joint mapping of quantitative trait loci.

Authors:  W R Wu; W M Li
Journal:  Theor Appl Genet       Date:  1996-03       Impact factor: 5.699

5.  QTL analysis: further uses of 'marker regression'.

Authors:  V Hyne; M J Kearsey
Journal:  Theor Appl Genet       Date:  1995-08       Impact factor: 5.699

6.  Natural bone fragmentation in the blind cave-dwelling fish, Astyanax mexicanus: candidate gene identification through integrative comparative genomics.

Authors:  Joshua B Gross; Bethany A Stahl; Amanda K Powers; Brian M Carlson
Journal:  Evol Dev       Date:  2015-07-08       Impact factor: 1.930

7.  A partial genome assay for quantitative trait loci in wheat (Triticum aestivum) using different analytical techniques.

Authors:  V Hyne; M J Kearsey; O Martìnez; W Gang; J W Snape
Journal:  Theor Appl Genet       Date:  1994-11       Impact factor: 5.699

8.  Novel insights into seed fatty acid synthesis and modification pathways from genetic diversity and quantitative trait Loci analysis of the Brassica C genome.

Authors:  Guy C Barker; Tony R Larson; Ian A Graham; James R Lynn; Graham J King
Journal:  Plant Physiol       Date:  2007-06-15       Impact factor: 8.340

9.  Genetic mapping and QTL analysis of fiber-related traits in cotton ( Gossypium).

Authors:  M Mei; N H Syed; W Gao; P M Thaxton; C W Smith; D M Stelly; Z J Chen
Journal:  Theor Appl Genet       Date:  2003-09-25       Impact factor: 5.699

10.  Shoot calcium and magnesium concentrations differ between subtaxa, are highly heritable, and associate with potentially pleiotropic loci in Brassica oleracea.

Authors:  Martin R Broadley; John P Hammond; Graham J King; Dave Astley; Helen C Bowen; Mark C Meacham; Andrew Mead; David A C Pink; Graham R Teakle; Rory M Hayden; William P Spracklen; Philip J White
Journal:  Plant Physiol       Date:  2008-02-15       Impact factor: 8.340

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