Literature DB >> 12454081

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

Luis Gomez-Raya1, Hanne Gro Olsen, Frode Lingaas, Helge Klungland, Dag Inge Våge, Ingrid Olsaker, Seblewengel Bekele Talle, Monica Aasland, Sigbjørn Lien.   

Abstract

A method to measure genomic response to natural and artificial selection by means of genetic markers in livestock is proposed. Genomic response through several levels of selection was measured using sequential testing for distorted segregation of alleles among selected and nonselected sons, single-sperm typing, and a test with records for growth performance. Statistical power at a significance level of 0.05 was >0.5 for a marker linked to a QTL with recombination fractions 0, 0.10, and 0.20 for detecting genomic responses for gene effects of 0.6, 0.7, and 1.0 phenotypic standard deviations, respectively. Genomic response to artificial selection in six commercial bull sire families comprising 285 half-sib sons selected for growth performance was measured using 282 genetic markers evenly distributed over the cattle genome. A genome-wide test using selected sons was significant (P < 0.001), indicating that selection induces changes in the genetic makeup of commercial cattle populations. Markers located in chromosomes 6, 10, and 16 identified regions in those chromosomes that are changing due to artificial selection as revealed by the association of records of performance with alleles at specific markers. Either natural selection or genetic drift may cause the observed genomic response for markers in chromosomes 1, 7, and 17.

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Year:  2002        PMID: 12454081      PMCID: PMC1462338     

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


  8 in total

1.  Two-stage selection strategies utilizing marker-quantitative trait locus information and individual performance.

Authors:  L Gomez-Raya; G Klemetsdal
Journal:  J Anim Sci       Date:  1999-08       Impact factor: 3.159

2.  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

3.  Amplification and analysis of DNA sequences in single human sperm and diploid cells.

Authors:  H H Li; U B Gyllensten; X F Cui; R K Saiki; H A Erlich; N Arnheim
Journal:  Nature       Date:  1988-09-29       Impact factor: 49.962

4.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

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.  An ordered comparative map of the cattle and human genomes.

Authors:  M R Band; J H Larson; M Rebeiz; C A Green; D W Heyen; J Donovan; R Windish; C Steining; P Mahyuddin; J E Womack; H A Lewin
Journal:  Genome Res       Date:  2000-09       Impact factor: 9.043

7.  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

8.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

  8 in total
  5 in total

1.  Maximum likelihood estimation of linkage disequilibrium in half-sib families.

Authors:  L Gomez-Raya
Journal:  Genetics       Date:  2012-02-29       Impact factor: 4.562

2.  Strong linkage disequilibrium near the selected Yr17 resistance gene in a wheat experimental population.

Authors:  Bénédicte Rhoné; Anne-Laure Raquin; Isabelle Goldringer
Journal:  Theor Appl Genet       Date:  2006-12-20       Impact factor: 5.699

3.  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

4.  Haplotype phasing after joint estimation of recombination and linkage disequilibrium in breeding populations.

Authors:  Luis Gomez-Raya; Amanda M Hulse; David Thain; Wendy M Rauw
Journal:  J Anim Sci Biotechnol       Date:  2013-08-06

5.  Use of canonical discriminant analysis to study signatures of selection in cattle.

Authors:  Silvia Sorbolini; Giustino Gaspa; Roberto Steri; Corrado Dimauro; Massimo Cellesi; Alessandra Stella; Gabriele Marras; Paolo Ajmone Marsan; Alessio Valentini; Nicolò Pietro Paolo Macciotta
Journal:  Genet Sel Evol       Date:  2016-08-12       Impact factor: 4.297

  5 in total

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