Literature DB >> 24177853

Optimum spacing of genetic markers for determining linkage between marker loci and quantitative trait loci.

A Darvasi1, M Soller.   

Abstract

The cost of experiments aimed at determining linkage between marker loci and quantitative trait loci (QTL) was investigated as a function of marker spacing and number of individuals scored. It was found that for a variety of experimental designs, fairly wide marker spacings (ca. 50 cM) are optimum or close to optimum for initial studies of marker-QTL linkage, in the sense of minimizing overall cost of the experiment. Thus, even when large numbers of more or less evenly spaced markers are available, it will not always be cost effective to make full utilization of this capacity. This is particularly true when costs of rearing and trait evaluation per individual scored are low, as when marker data are obtained on individuals raised and evaluated for quantitative traits as part of existing programs. When costs of rearing and trait evaluation per individual scored are high, however, as in human family data collection carried out primarily for subsequent marker - QTL analyses, or when plants or animals are raised specifically for purposes of marker - QTL linkage experiments, optimum spacing may be rather narrow. It is noteworthy that when marginal costs of additional markers or individuals are constant, total resources allocated to a given experiment will determine total number of individuals sampled, but not the optimal marker spacing.

Entities:  

Year:  1994        PMID: 24177853     DOI: 10.1007/BF00225166

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


  25 in total

1.  Toward a unified approach to genetic mapping of eukaryotes based on sequence tagged microsatellite sites.

Authors:  J S Beckmann; M Soller
Journal:  Biotechnology (N Y)       Date:  1990-10

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.  Restriction fragment length polymorphisms in genetic improvement: methodologies, mapping and costs.

Authors:  J S Beckmann; M Soller
Journal:  Theor Appl Genet       Date:  1983-11       Impact factor: 5.699

4.  Using molecular markers to map multiple quantitative trait loci: models for backcross, recombinant inbred, and doubled haploid progeny.

Authors:  S J Knapp
Journal:  Theor Appl Genet       Date:  1991-03       Impact factor: 5.699

5.  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

6.  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

7.  Robust methods for the detection of genetic linkage for quantitative data from pedigrees.

Authors:  C I Amos; R C Elston
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

8.  Linkage between a marker locus and a quantitative trait of sibs.

Authors:  C C Cockerham; B S Weir
Journal:  Am J Hum Genet       Date:  1983-03       Impact factor: 11.025

9.  Power of daughter and granddaughter designs for determining linkage between marker loci and quantitative trait loci in dairy cattle.

Authors:  J I Weller; Y Kashi; M Soller
Journal:  J Dairy Sci       Date:  1990-09       Impact factor: 4.034

Review 10.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

View more
  20 in total

1.  An enhanced linkage map of the sheep genome comprising more than 1000 loci.

Authors:  J F Maddox; K P Davies; A M Crawford; D J Hulme; D Vaiman; E P Cribiu; B A Freking; K J Beh; N E Cockett; N Kang; C D Riffkin; R Drinkwater; S S Moore; K G Dodds; J M Lumsden; T C van Stijn; S H Phua; D L Adelson; H R Burkin; J E Broom; J Buitkamp; L Cambridge; W T Cushwa; E Gerard; S M Galloway; B Harrison; R J Hawken; S Hiendleder; H M Henry; J F Medrano; K A Paterson; L Schibler; R T Stone; B van Hest
Journal:  Genome Res       Date:  2001-07       Impact factor: 9.043

2.  A large-sample QTL study in mice: I. Growth.

Authors:  Joao L Rocha; Eugene J Eisen; L Dale Van Vleck; Daniel Pomp
Journal:  Mamm Genome       Date:  2004-02       Impact factor: 2.957

3.  An analytical formula to estimate confidence interval of QTL location with a saturated genetic map as a function of experimental design.

Authors:  Joel Ira Weller; Morris Soller
Journal:  Theor Appl Genet       Date:  2004-09-23       Impact factor: 5.699

4.  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

5.  Position of the reduced mycorrhizal colonisation (Rmc) locus on the tomato genome map.

Authors:  Nicholas J Larkan; Sally E Smith; Susan J Barker
Journal:  Mycorrhiza       Date:  2007-02-07       Impact factor: 3.387

6.  Mapping quantitative trait loci for seedling vigor in rice using RFLPs.

Authors:  E D Redoña; D J Mackill
Journal:  Theor Appl Genet       Date:  1996-03       Impact factor: 5.699

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

Authors:  A Darvasi; M Soller
Journal:  Theor Appl Genet       Date:  1992-11       Impact factor: 5.699

8.  Quantitative trait loci mapping in five new large recombinant inbred line populations of Arabidopsis thaliana genotyped with consensus single-nucleotide polymorphism markers.

Authors:  Matthieu Simon; Olivier Loudet; Stéphanie Durand; Aurélie Bérard; Dominique Brunel; François-Xavier Sennesal; Mylène Durand-Tardif; Georges Pelletier; Christine Camilleri
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

9.  The effect of selective genotyping on QTL mapping accuracy.

Authors:  A Darvasi
Journal:  Mamm Genome       Date:  1997-01       Impact factor: 2.957

10.  QTL associations for density and diameter in Pinus radiata and the potential for marker-aided selection.

Authors:  M E Devey; S D Carson; M F Nolan; A C Matheson; C Te Riini; J Hohepa
Journal:  Theor Appl Genet       Date:  2003-12-05       Impact factor: 5.699

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.