Literature DB >> 1459434

The effects of selection on linkage analysis for quantitative traits.

M J Mackinnon1, M A Georges.   

Abstract

The effects of within-sample selection on the outcome of analyses detecting linkage between genetic markers and quantitative traits were studied. It was found that selection by truncation for the trait of interest significantly reduces the differences between marker genotype means thus reducing the power to detect linked quantitative trait loci (QTL). The size of this reduction is a function of proportion selected, the magnitude of the QTL effect, recombination rate between the marker locus and the QTL, and the allele frequency of the QTL. Proportion selected was the most influential of these factors on bias, e.g., for an allele substitution effect of one standard deviation unit, selecting the top 80%, 50% or 20% of the population required 2, 6 or 24 times the number of progeny, respectively, to offset the loss of power caused by this selection. The effect on power was approximately linear with respect to the size of gene effect, almost invariant to recombination rate, and a complex function of QTL allele frequency. It was concluded that experimental samples from animal populations which have been subjected to even minor amounts of selection will be inefficient in yielding information on linkage between markers and loci influencing the quantitative trait under selection.

Mesh:

Year:  1992        PMID: 1459434      PMCID: PMC1205237     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  6 in total

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2.  The Association of Size Differences with Seed-Coat Pattern and Pigmentation in PHASEOLUS VULGARIS.

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3.  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

4.  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
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5.  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

6.  The bovine gene map.

Authors:  R Fries; J S Beckmann; M Georges; M Soller; J Womack
Journal:  Anim Genet       Date:  1989       Impact factor: 3.169

  6 in total
  5 in total

1.  Sampling strategies for model free linkage analyses of quantitative traits: implications for sib pair studies of reading and spelling disabilities to minimize the total study cost.

Authors:  A Ziegler
Journal:  Eur Child Adolesc Psychiatry       Date:  1999       Impact factor: 4.785

2.  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

3.  A molecular selection index method based on eigenanalysis.

Authors:  J Jesús Cerón-Rojas; Fernando Castillo-González; Jaime Sahagún-Castellanos; Amalio Santacruz-Varela; Ignacio Benítez-Riquelme; José Crossa
Journal:  Genetics       Date:  2008-08-20       Impact factor: 4.562

4.  Mapping quantitative trait loci for milk production and health of dairy cattle in a large outbred pedigree.

Authors:  Q Zhang; D Boichard; I Hoeschele; C Ernst; A Eggen; B Murkve; M Pfister-Genskow; L A Witte; F E Grignola; P Uimari; G Thaller; M D Bishop
Journal:  Genetics       Date:  1998-08       Impact factor: 4.562

5.  Mapping quantitative trait loci controlling milk production in dairy cattle by exploiting progeny testing.

Authors:  M Georges; D Nielsen; M Mackinnon; A Mishra; R Okimoto; A T Pasquino; L S Sargeant; A Sorensen; M R Steele; X Zhao
Journal:  Genetics       Date:  1995-02       Impact factor: 4.562

  5 in total

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