Literature DB >> 24193587

Power studies in the estimation of genetic parameters and the localization of quantitative trait loci for backcross and doubled haploid populations.

E A Carbonell1, M J Asins, M Baselga, E Balansard, T M Gerig.   

Abstract

A statistical model for doubled haploids and backcrosses based on the interval-mapping methodology has been used to carry out power studies to investigate the effects of different experimental designs, heritabilities of the quantitative trait, and types of gene action, using two test statistics, the F of Fisher-Snedecor and the LOD score. The doubled haploid experimental design is more powerful than backcrosses while keeping actual type I errors similar to nominal ones. For the doubled haploid design, individual QTLs, showing heritabilities as low as 5% were detected in about 90% of the cases using only 250 individuals. The power to detect a given QTL is related to its contribution to the heritability of the trait. For a given nominal type I error, tests using F values are more powerful than with LOD scores. It seems that more conservative levels should be used for the LOD score in order to increase the power and obtain type I errors similar to nominal ones.

Entities:  

Year:  1993        PMID: 24193587     DOI: 10.1007/BF00838555

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.  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.  Marker-based mapping of quantitative trait loci using replicated progenies.

Authors:  M Soller; J S Beckmann
Journal:  Theor Appl Genet       Date:  1990-08       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.  On the power of experimental designs for the detection of linkage between marker loci and quantitative loci in crosses between inbred lines.

Authors:  M Soller; T Brody; A Genizi
Journal:  Theor Appl Genet       Date:  1976-01       Impact factor: 5.699

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.  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

  9 in total
  11 in total

1.  Mapping quantitative trait loci from a single-tail sample of the phenotype distribution including survival data.

Authors:  Mikko J Sillanpää; Fabian Hoti
Journal:  Genetics       Date:  2007-12       Impact factor: 4.562

2.  Genotype x environment interaction in QTL analysis of an intervarietal almond cross by means of genetic markers.

Authors:  M J Asíns; P Mestre; J E García; F Dicenta; E A Carbonell
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

3.  Quantitative trait loci affecting cotton fiber are linked to the t1 locus in upland cotton.

Authors:  R H Kloth
Journal:  Theor Appl Genet       Date:  1995-10       Impact factor: 5.699

4.  On estimating the linkage of marker genes to viability genes controlling inbreeding depression.

Authors:  Y B Fu; K Ritland
Journal:  Theor Appl Genet       Date:  1994-09       Impact factor: 5.699

5.  Linkage between loci of quantitative traits and marker loci: multi-trait analysis with a single marker.

Authors:  Y I Ronin; V M Kirzhner; A B Korol
Journal:  Theor Appl Genet       Date:  1995-05       Impact factor: 5.699

6.  Swift block-updating EM and pseudo-EM procedures for Bayesian shrinkage analysis of quantitative trait loci.

Authors:  Crispin M Mutshinda; Mikko J Sillanpää
Journal:  Theor Appl Genet       Date:  2012-07-24       Impact factor: 5.699

7.  A single major chromosomal region controls natural killer cell-like activity in rainbow trout.

Authors:  Anastasia M Zimmerman; Jason P Evenhuis; Gary H Thorgaard; Sandra S Ristow
Journal:  Immunogenetics       Date:  2004-02-17       Impact factor: 2.846

8.  Association of RFLP markers with loci conferring broad-based resistance to the soybean cyst nematode (Heterodera glycines).

Authors:  R A Vierling; J Faghihi; V R Ferris; J M Ferris
Journal:  Theor Appl Genet       Date:  1996-01       Impact factor: 5.699

9.  Salt tolerance in Lycopersicon species. IV. Efficiency of marker-assisted selection for salt tolerance improvement.

Authors:  A J Monforte; M J Asíns; E A Carbonell
Journal:  Theor Appl Genet       Date:  1996-10       Impact factor: 5.699

10.  Genetic mapping of soybean cyst nematode race-3 resistance loci in the soybean PI 437.654.

Authors:  D M Webb; B M Baltazar; A P Rao-Arelli; J Schupp; K Clayton; P Keim; W D Beavis
Journal:  Theor Appl Genet       Date:  1995-09       Impact factor: 5.699

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