Literature DB >> 18430945

Fine mapping of quantitative trait loci affecting female fertility in dairy cattle on BTA03 using a dense single-nucleotide polymorphism map.

Tom Druet1, Sébastien Fritz, Mekki Boussaha, Slim Ben-Jemaa, François Guillaume, David Derbala, Diana Zelenika, Doris Lechner, Céline Charon, Didier Boichard, Ivo G Gut, André Eggen, Mathieu Gautier.   

Abstract

Fertility quantitative trait loci (QTL) are of high interest in dairy cattle since insemination failure has dramatically increased in some breeds such as Holstein. High-throughput SNP analysis and SNP microarrays give the opportunity to genotype many animals for hundreds SNPs per chromosome. In this study, due to these techniques a dense SNP marker map was used to fine map a QTL underlying nonreturn rate measured 90 days after artificial insemination previously detected with a low-density microsatellite marker map. A granddaughter design with 17 Holstein half-sib families (926 offspring) was genotyped for a set of 437 SNPs mapping to BTA3. Linkage analysis was performed by both regression and variance components analysis. An additional analysis combining both linkage analysis and linkage-disequilibrium information was applied. This method first estimated identity-by-descent probabilities among base haplotypes. These probabilities were then used to group the base haplotypes in different clusters. A QTL explaining 14% of the genetic variance was found with high significance (P < 0.001) at position 19 cM with the linkage analysis and four sires were estimated to be heterozygous (P < 0.05). Addition of linkage-disequilibrium information refined the QTL position to a set of narrow peaks. The use of the haplotypes of heterozygous sires offered the possibility to give confidence in some peaks while others could be discarded. Two peaks with high likelihood-ratio test values in the region of which heterozygous sires shared a common haplotype appeared particularly interesting. Despite the fact that the analysis did not fine map the QTL in a unique narrow region, the method proved to be able to handle efficiently and automatically a large amount of information and to refine the QTL position to a small set of narrow intervals. In addition, the QTL identified was confirmed to have a large effect (explaining 13.8% of the genetic variance) on dairy cow fertility as estimated by nonreturn rate at 90 days.

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Year:  2008        PMID: 18430945      PMCID: PMC2323811          DOI: 10.1534/genetics.107.085035

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


  25 in total

1.  Fine mapping of quantitative trait loci using linkage disequilibria with closely linked marker loci.

Authors:  T H Meuwissen; M E Goddard
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  Haplotype sharing refines the location of an imprinted quantitative trait locus with major effect on muscle mass to a 250-kb chromosome segment containing the porcine IGF2 gene.

Authors:  Carine Nezer; Catherine Collette; Laurence Moreau; Benoît Brouwers; Jong-Joo Kim; Elisabetta Giuffra; Nadine Buys; Leif Andersson; Michel Georges
Journal:  Genetics       Date:  2003-09       Impact factor: 4.562

3.  Refinement of two female fertility QTL using alternative phenotypes in French Holstein dairy cattle.

Authors:  F Guillaume; M Gautier; S Ben Jemaa; S Fritz; A Eggen; D Boichard; T Druet
Journal:  Anim Genet       Date:  2007-02       Impact factor: 3.169

4.  Power and precision of alternate methods for linkage disequilibrium mapping of quantitative trait loci.

Authors:  H H Zhao; R L Fernando; J C M Dekkers
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

5.  Methods for multiple-marker mapping of quantitative trait loci in half-sib populations.

Authors:  S A Knott; J M Elsen; C S Haley
Journal:  Theor Appl Genet       Date:  1996-07       Impact factor: 5.699

6.  A primary assembly of a bovine haplotype block map based on a 15,036-single-nucleotide polymorphism panel genotyped in holstein-friesian cattle.

Authors:  Mehar S Khatkar; Kyall R Zenger; Matthew Hobbs; Rachel J Hawken; Julie A L Cavanagh; Wes Barris; Alexander E McClintock; Sara McClintock; Peter C Thomson; Bruce Tier; Frank W Nicholas; Herman W Raadsma
Journal:  Genetics       Date:  2007-04-15       Impact factor: 4.562

Review 7.  Quantitative trait loci mapping in dairy cattle: review and meta-analysis.

Authors:  Mehar S Khatkar; Peter C Thomson; Imke Tammen; Herman W Raadsma
Journal:  Genet Sel Evol       Date:  2004 Mar-Apr       Impact factor: 4.297

8.  A simple and rapid method for calculating identity-by-descent matrices using multiple markers.

Authors:  R Pong-Wong; A W George; J A Woolliams; C S Haley
Journal:  Genet Sel Evol       Date:  2001 Sep-Oct       Impact factor: 4.297

9.  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

10.  Mapping multiple QTL using linkage disequilibrium and linkage analysis information and multitrait data.

Authors:  Theo H E Meuwissen; Mike E Goddard
Journal:  Genet Sel Evol       Date:  2004 May-Jun       Impact factor: 4.297

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  19 in total

1.  A hidden markov model combining linkage and linkage disequilibrium information for haplotype reconstruction and quantitative trait locus fine mapping.

Authors:  Tom Druet; Michel Georges
Journal:  Genetics       Date:  2009-12-14       Impact factor: 4.562

2.  A fast expectation-maximum algorithm for fine-scale QTL mapping.

Authors:  Ming Fang
Journal:  Theor Appl Genet       Date:  2012-08-04       Impact factor: 5.699

3.  Mapping of a milk production quantitative trait locus to a 1.056 Mb region on bovine chromosome 5 in the Fleckvieh dual purpose cattle breed.

Authors:  Ashraf Awad; Ingolf Russ; Martin Förster; Ivica Medugorac
Journal:  Genet Sel Evol       Date:  2011-02-24       Impact factor: 4.297

4.  Does probabilistic modelling of linkage disequilibrium evolution improve the accuracy of QTL location in animal pedigree?

Authors:  Christine Cierco-Ayrolles; Sébastien Dejean; Andrés Legarra; Hélène Gilbert; Tom Druet; Florence Ytournel; Delphine Estivals; Naïma Oumouhou; Brigitte Mangin
Journal:  Genet Sel Evol       Date:  2010-10-22       Impact factor: 4.297

5.  Inclusion of cow records in genomic evaluations and impact on bias due to preferential treatment.

Authors:  Romain Dassonneville; Aurelia Baur; Sébastien Fritz; Didier Boichard; Vincent Ducrocq
Journal:  Genet Sel Evol       Date:  2012-12-27       Impact factor: 4.297

6.  A common reference population from four European Holstein populations increases reliability of genomic predictions.

Authors:  Mogens S Lund; Adrianus P W de Roos; Alfred G de Vries; Tom Druet; Vincent Ducrocq; Sébastien Fritz; François Guillaume; Bernt Guldbrandtsen; Zenting Liu; Reinhard Reents; Chris Schrooten; Franz Seefried; Guosheng Su
Journal:  Genet Sel Evol       Date:  2011-12-12       Impact factor: 4.297

7.  A strategy for QTL fine-mapping using a dense SNP map.

Authors:  Joaquim Tarres; François Guillaume; Sébastien Fritz
Journal:  BMC Proc       Date:  2009-02-23

8.  Linear models for joint association and linkage QTL mapping.

Authors:  Andrés Legarra; Rohan L Fernando
Journal:  Genet Sel Evol       Date:  2009-09-29       Impact factor: 4.297

9.  Fine-mapping quantitative trait loci with a medium density marker panel: efficiency of population structures and comparison of linkage disequilibrium linkage analysis models.

Authors:  Dana L Roldan; Hélène Gilbert; John M Henshall; Andrés Legarra; Jean-Michel Elsen
Journal:  Genet Res (Camb)       Date:  2012-08       Impact factor: 1.588

10.  Identification of a short region on chromosome 6 affecting direct calving ease in Piedmontese cattle breed.

Authors:  Silvia Bongiorni; Giordano Mancini; Giovanni Chillemi; Lorraine Pariset; Alessio Valentini
Journal:  PLoS One       Date:  2012-12-04       Impact factor: 3.240

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