Literature DB >> 11238420

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

L Gomez-Raya1.   

Abstract

A maximum-likelihood method to estimate the recombination fraction and its sampling variance using informative and noninformative half-sib offspring is derived. Estimates of the recombination fraction are biased up to 20 cM when noninformative offspring are discarded. In certain scenarios, the sampling variance can be increased or reduced up to fivefold due to the bias in estimating the recombination fraction and the LOD score can be reduced up to 5 units when discarding noninformative offspring. Comparison of the estimates of recombination fraction, map distance, and LOD score when constructing a genetic map with 251 two-point linkage analyses and six families of Norwegian cattle was carried out to evaluate the implications of discarding noninformative offspring in practical situations. The average discrepancies in absolute value (average difference when using and neglecting noninformative offspring) were 0.0146, 1.64 cM, and 2.61 for the recombination fraction, map distance, and the LOD score, respectively. A method for simultaneous estimation of allele frequencies in the dam population and a transmission disequilibrium parameter is proposed. This method might account for the bias in estimating allele frequencies in the dam population when the half-sib offspring is selected for production traits.

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Year:  2001        PMID: 11238420      PMCID: PMC1461567     

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


  8 in total

1.  Consensus and comprehensive linkage maps of bovine chromosome 7.

Authors:  Z Gu; L Gomez-Raya; D I Våge; K Elo; W Barendse; G Davis; M Grosz; G Erhardt; E Kalm; N Reinsch; S M Kappes; R T Stone; S K Davis; J F Taylor; B W Kirkpatrick
Journal:  Anim Genet       Date:  2000-06       Impact factor: 3.169

2.  A second-generation linkage map of the bovine genome.

Authors:  S M Kappes; J W Keele; R T Stone; R A McGraw; T S Sonstegard; T P Smith; N L Lopez-Corrales; C W Beattie
Journal:  Genome Res       Date:  1997-03       Impact factor: 9.043

3.  A male linkage map of the cattle (Bos taurus) genome.

Authors:  R Z Ma; J E Beever; Y Da; C A Green; I Russ; C Park; D W Heyen; R E Everts; S R Fisher; K M Overton; A J Teale; S J Kemp; H C Hines; G Guérin; H A Lewin
Journal:  J Hered       Date:  1996 Jul-Aug       Impact factor: 2.645

4.  Bovine chromosome 4 workshop: consensus and comprehensive linkage maps.

Authors:  E Casas; W Barendse; J E Beever; B M Burns; S K Davis; G Erhardt; M Förster; L Gomez-Raya; E Kalm; S M Kappes; H Klungland; H A Lewin; S Lien; I Olsaker; N Reinsch; M Schwerin; Y Song; J F Taylor; H Thomsen; D I Våge; X Wu; N Xu; C C Yeh
Journal:  Anim Genet       Date:  1999-10       Impact factor: 3.169

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.  A medium-density genetic linkage map of the bovine genome.

Authors:  W Barendse; D Vaiman; S J Kemp; Y Sugimoto; S M Armitage; J L Williams; H S Sun; A Eggen; M Agaba; S A Aleyasin; M Band; M D Bishop; J Buitkamp; K Byrne; F Collins; L Cooper; W Coppettiers; B Denys; R D Drinkwater; K Easterday; C Elduque; S Ennis; G Erhardt; L Li; L Lil
Journal:  Mamm Genome       Date:  1997-01       Impact factor: 2.957

7.  Multiple marker mapping of quantitative trait loci of Finnish dairy cattle by regression.

Authors:  H J Vilkki; D J de Koning; K Elo; R Velmala; A Mäki-Tanila
Journal:  J Dairy Sci       Date:  1997-01       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

  8 in total
  4 in total

1.  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

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

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

3.  Combining two-stage testing and interval mapping strategies to detect QTL for resistance to bonamiosis in the european flat oyster Ostrea edulis.

Authors:  D Lallias; L Gomez-Raya; C S Haley; I Arzul; S Heurtebise; A R Beaumont; P Boudry; S Lapègue
Journal:  Mar Biotechnol (NY)       Date:  2009-01-14       Impact factor: 3.619

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
  4 in total

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