Literature DB >> 2258496

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

J I Weller1, Y Kashi, M Soller.   

Abstract

There is considerable interest in bovine DNA-level polymorphic marker loci as a means of mapping quantitative trait loci (QTL) of economic importance in cattle. Progeny of a sire heterozygous for both a marker locus and a linked QTL, which inherit different alleles for the marker, will have different trait means. Based on this, power to detect QTL, as a function of QTL effect, heritability of the trait, and number of animals tested was determined for 1) daughter design, marker genotype and quantitative trait values assessed on daughters of sires heterozygous for the markers; and 2) granddaughter design, a newly devised alternative design in which marker genotype is determined on sons of heterozygous sires and quantitative trait value measured on daughters of the sons. For equal numbers of assays, power increased with the number of daughters per sire (design 1) and sons per grandsire (design 2). For equal power and heritability less than or equal to .2, design 2 required half as many marker assays as design 1, e.g., with heritability of .2, QTL effect of .2 SD units, and type 1 error of .01, power was .70 if 400 daughters of each of 10 sires were assayed for the markers and .95 if markers were assayed on 100 sons of each of 20 sires with 50 granddaughters per son.

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Year:  1990        PMID: 2258496     DOI: 10.3168/jds.S0022-0302(90)78938-2

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  65 in total

1.  Biased estimation of the recombination fraction using half-sib families and informative offspring.

Authors:  L Gomez-Raya
Journal:  Genetics       Date:  2001-03       Impact factor: 4.562

2.  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

3.  Multitrait fine mapping of quantitative trait loci using combined linkage disequilibria and linkage analysis.

Authors:  M S Lund; P Sørensen; B Guldbrandtsen; D A Sorensen
Journal:  Genetics       Date:  2003-01       Impact factor: 4.562

4.  The use of genetic markers to measure genomic response to selection in livestock.

Authors:  Luis Gomez-Raya; Hanne Gro Olsen; Frode Lingaas; Helge Klungland; Dag Inge Våge; Ingrid Olsaker; Seblewengel Bekele Talle; Monica Aasland; Sigbjørn Lien
Journal:  Genetics       Date:  2002-11       Impact factor: 4.562

5.  Association of a lysine-232/alanine polymorphism in a bovine gene encoding acyl-CoA:diacylglycerol acyltransferase (DGAT1) with variation at a quantitative trait locus for milk fat content.

Authors:  Andreas Winter; Wolfgang Krämer; Fabian A O Werner; Sonja Kollers; Srinivas Kata; Gregor Durstewitz; Johannes Buitkamp; James E Womack; Georg Thaller; Ruedi Fries
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-20       Impact factor: 11.205

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

Authors:  Joel Ira Weller; Hayim Weller; David Kliger; Micha Ron
Journal:  Genetics       Date:  2002-10       Impact factor: 4.562

7.  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

8.  The effects of selection on linkage analysis for quantitative traits.

Authors:  M J Mackinnon; M A Georges
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

9.  Mapping quantitative trait loci in F2 incorporating phenotypes of F3 progeny.

Authors:  Yuan-Ming Zhang; Shizhong Xu
Journal:  Genetics       Date:  2004-04       Impact factor: 4.562

Review 10.  Gene polymorphisms: the keys for marker assisted selection and unraveling core regulatory pathways for mastitis resistance.

Authors:  Gina M Pighetti; A A Elliott
Journal:  J Mammary Gland Biol Neoplasia       Date:  2011-10-14       Impact factor: 2.673

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