Literature DB >> 9145551

A simple method to calculate resolving power and confidence interval of QTL map location.

A Darvasi1, M Soller.   

Abstract

"Resolving power" is defined as the 95% confidence interval for quantitative trait locus (QTL) map location that would be obtained when scoring an infinite number of markers in a given constellation of a marker-QTL mapping experiment. Resolving power can serve as a close estimate of the confidence interval of QTL map location, as well as a guide to the lower efficient limit of marker spacing in an initial marker-QTL mapping experiment. In the present study, an extensive series of simulations was carried out to provide estimates of resolving power, for backcross (BC) and F2 designs, over a wide range of experimental sizes and of gene effects and dominance at the QTL. From the simulation results, the remarkably simple expressions, 3000/(mNd2) (where m = 1 for BC and m = 2 for F2; N = population size, and d = allele substitution effect) and 530/Nv (in terms of v, the proportion of variance explained), were obtained for estimating resolving power. These expressions can provide a convenient guide to planning marker spacing in BC and F2 marker-QTL linkage experiments and for placing confidence intervals about QTL map location obtained in such experiments.

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Year:  1997        PMID: 9145551     DOI: 10.1023/a:1025685324830

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  112 in total

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2.  Enhanced efficiency of quantitative trait loci mapping analysis based on multivariate complexes of quantitative traits.

Authors:  A B Korol; Y I Ronin; A M Itskovich; J Peng; E Nevo
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

3.  A method for fine mapping quantitative trait loci in outbred animal stocks.

Authors:  R Mott; C J Talbot; M G Turri; A C Collins; J Flint
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

4.  Quantitative trait locus mapping in laboratory mice derived from a replicated selection experiment for open-field activity.

Authors:  M G Turri; N D Henderson; J C DeFries; J Flint
Journal:  Genetics       Date:  2001-07       Impact factor: 4.562

5.  Multiple quantitative trait locus analysis of bovine chromosome 6 in the Israeli Holstein population by a daughter design.

Authors:  M Ron; D Kliger; E Feldmesser; E Seroussi; E Ezra; J I Weller
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6.  Genetic architecture of testis and seminal vesicle weights in mice.

Authors:  I Le Roy; S Tordjman; D Migliore-Samour; H Degrelle; P L Roubertoux
Journal:  Genetics       Date:  2001-05       Impact factor: 4.562

7.  Analysis of quantitative trait loci for behavioral laterality in mice.

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8.  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

9.  High-resolution mapping of quantitative trait loci by selective recombinant genotyping.

Authors:  Y Ronin; A Korol; M Shtemberg; E Nevo; M Soller
Journal:  Genetics       Date:  2003-08       Impact factor: 4.562

10.  Genomic Regions From an Iranian Landrace Increase Kernel Size in Durum Wheat.

Authors:  Francesca Desiderio; Leila Zarei; Stefania Licciardello; Kianoosh Cheghamirza; Ezatollah Farshadfar; Nino Virzi; Fabiola Sciacca; Paolo Bagnaresi; Raffaella Battaglia; Davide Guerra; Massimo Palumbo; Luigi Cattivelli; Elisabetta Mazzucotelli
Journal:  Front Plant Sci       Date:  2019-04-18       Impact factor: 5.753

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