Literature DB >> 24197326

Selective genotyping for determination of linkage between a marker locus and a quantitative trait locus.

A Darvasi1, M Soller.   

Abstract

"Selective genotyping" is the term used when the determination of linkage between marker loci and quantitative trait loci (QTL) affecting some particular trait is carried out by genotyping only individuals from the high and low phenotypic tails of the entire sample population. Selective genotyping can markedly decrease the number of individuals genotyped for a given power at the expense of an increase in the number of individuals phenotyped. The optimum proportion of individuals genotyped from the point of view of minimizing costs for a given experimental power depends strongly on the cost of completely genotyping an individual for all of the markers included in the experiment (including the costs of obtaining a DNA sample) relative to the cost of rearing and trait evaluation of an individual. However, in single trait studies, it will almost never be useful to genotype more than the upper and lower 25% of a population. It is shown that the observed difference in quantitative trait values associated with alternative marker genotypes in the selected population can be much greater than the actual gene effect at the quantitative trait locus when the entire population is considered. An expression and a figure is provided for converting observed differences under selective genotyping to actual gene effects.

Year:  1992        PMID: 24197326     DOI: 10.1007/BF00222881

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


  22 in total

1.  Trait-based analyses for the detection of linkage between marker loci and quantitative trait loci in crosses between inbred lines.

Authors:  R J Lebowitz; M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1987-02       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.  Optimum spacing of genetic markers for determining linkage between marker loci and quantitative trait loci.

Authors:  A Darvasi; M Soller
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

4.  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

5.  Investigations on inheritance of quantitative characters in animals by gene markers I. Methods.

Authors:  H Geldermann
Journal:  Theor Appl Genet       Date:  1975-01       Impact factor: 5.699

6.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

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.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

10.  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

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  93 in total

1.  Chromosome substitution strains: some quantitative considerations for genome scans and fine mapping.

Authors:  John K Belknap
Journal:  Mamm Genome       Date:  2003-11       Impact factor: 2.957

2.  Exploiting selective genotyping to study genetic diversity of resistance to Fusarium head blight in barley.

Authors:  W J Wingbermuehle; C Gustus; K P Smith
Journal:  Theor Appl Genet       Date:  2004-07-15       Impact factor: 5.699

3.  QTL mapping under truncation selection in homozygous lines derived from biparental crosses.

Authors:  Albrecht E Melchinger; Elena Orsini; Chris C Schön
Journal:  Theor Appl Genet       Date:  2011-11-01       Impact factor: 5.699

4.  GWAS analysis using interspecific backcross progenies reveals superior blue catfish alleles responsible for strong resistance against enteric septicemia of catfish.

Authors:  Suxu Tan; Tao Zhou; Wenwen Wang; Yulin Jin; Xiaozhu Wang; Xin Geng; Jian Luo; Zihao Yuan; Yujia Yang; Huitong Shi; Dongya Gao; Rex Dunham; Zhanjiang Liu
Journal:  Mol Genet Genomics       Date:  2018-05-08       Impact factor: 3.291

5.  Quantitative trait locus study design from an information perspective.

Authors:  Saunak Sen; Jaya M Satagopan; Gary A Churchill
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

Review 6.  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

Review 7.  Design of microarray experiments for genetical genomics studies.

Authors:  Júlio S S Bueno Filho; Steven G Gilmour; Guilherme J M Rosa
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

8.  Detection of marker-QTL associations by studying change in marker frequencies with selection.

Authors:  A Gallais; L Moreau; A Charcosset
Journal:  Theor Appl Genet       Date:  2006-12-13       Impact factor: 5.699

9.  Mapping quantitative trait loci by an extension of the Haley-Knott regression method using estimating equations.

Authors:  Bjarke Feenstra; Ib M Skovgaard; Karl W Broman
Journal:  Genetics       Date:  2006-05-15       Impact factor: 4.562

10.  Fine mapping of a grain-weight quantitative trait locus in the pericentromeric region of rice chromosome 3.

Authors:  Jiming Li; Michael Thomson; Susan R McCouch
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

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