Literature DB >> 12399394

Estimation of quantitative trait locus allele frequency via a modified granddaughter design.

Joel Ira Weller1, Hayim Weller, David Kliger, Micha Ron.   

Abstract

A method is described on the basis of a modification of the granddaughter design to obtain estimates of quantitative trait loci (QTL) allele frequencies in dairy cattle populations and to determine QTL genotypes for both homozygous and heterozygous grandsires. The method is based on determining the QTL allele passed from grandsires to their maternal granddaughters using haplotypes consisting of several closely linked genetic markers. This method was applied to simulated data of 10 grandsire families, each with 500 granddaughters, and a QTL with a substitution effect of 0.4 phenotypic standard deviations and to actual data for a previously analyzed QTL in the center of chromosome 6, with substitution effect of 1 phenotypic standard deviation on protein percentage. In the simulated data the standard error for the estimated QTL substitution effect with four closely linked multiallelic markers was only 7% greater than the expected standard error with completely correct identification of QTL allele origin. The method estimated the population QTL allelic frequency as 0.64 +/- 0.07, compared to the simulated value of 0.7. In the actual data, the frequency of the allele that increases protein percentage was estimated as 0.63 +/- 0.06. In both data sets the hypothesis of equal allelic frequencies was rejected at P < 0.05.

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Year:  2002        PMID: 12399394      PMCID: PMC1462304     

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


  10 in total

1.  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
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

2.  A genome scan for QTL influencing milk production and health traits in dairy cattle.

Authors:  D W Heyen; J I Weller; M Ron; M Band; J E Beever; E Feldmesser; Y Da; G R Wiggans; P M VanRaden; H A Lewin
Journal:  Physiol Genomics       Date:  1999-11-11       Impact factor: 3.107

3.  Derivation, calculation, and use of national animal model information.

Authors:  P M VanRaden; G R Wiggans
Journal:  J Dairy Sci       Date:  1991-08       Impact factor: 4.034

4.  Methodology and accuracy of estimation of quantitative trait loci parameters in a half-sib design using maximum likelihood.

Authors:  M J Mackinnon; J I Weller
Journal:  Genetics       Date:  1995-10       Impact factor: 4.562

5.  Confidence intervals in QTL mapping by bootstrapping.

Authors:  P M Visscher; R Thompson; C S Haley
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

6.  Prediction of informativeness for microsatellite markers among progeny of sires used for detection of economic trait loci in dairy cattle.

Authors:  M Ron; H Lewin; Y Da; M Band; A Yanai; Y Blank; E Feldmesser; J I Weller
Journal:  Anim Genet       Date:  1995-12       Impact factor: 3.169

7.  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

8.  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

9.  Estimation of candidate gene effects in dairy cattle populations.

Authors:  C Israel; J I Weller
Journal:  J Dairy Sci       Date:  1998-06       Impact factor: 4.034

10.  Mapping and analysis of dairy cattle quantitative trait loci by maximum likelihood methodology using milk protein genes as genetic markers.

Authors:  H Bovenhuis; J I Weller
Journal:  Genetics       Date:  1994-05       Impact factor: 4.562

  10 in total
  2 in total

1.  Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle.

Authors:  Miri Cohen-Zinder; Eyal Seroussi; Denis M Larkin; Juan J Loor; Annelie Everts-van der Wind; Jun-Heon Lee; James K Drackley; Mark R Band; A G Hernandez; Moshe Shani; Harris A Lewin; Joel I Weller; Micha Ron
Journal:  Genome Res       Date:  2005-07       Impact factor: 9.043

2.  Connecting QTLS to the g-matrix of evolutionary quantitative genetics.

Authors:  John K Kelly
Journal:  Evolution       Date:  2008-12-12       Impact factor: 3.694

  2 in total

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