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Volume 4 Supplement 1

Proceedings of the 13th European workshop on QTL mapping and marker assisted selection

Proceedings

Edited by Marco Bink, John Bastiaansen, Mario Calus and Chris Maliepaard

Publication of this supplement was supported by EADGENE (European Animal Disease Genomics Network of Excellence) and the LEB Foundation

13th European workshop on QTL mapping and marker assisted selection,. Go to conference site.

Wageningen, The Netherlands20-21 April 2009

  1. Genomic selection, the use of markers across the whole genome, receives increasing amounts of attention and is having more and more impact on breeding programs. Development of statistical and computational met...

    Authors: John W M Bastiaansen, Marco C A M Bink, Albart Coster, Chris Maliepaard and Mario P L Calus
    Citation: BMC Proceedings 2010 4(Suppl 1):S1
  2. Five participants of the QTL-MAS 2009 workshop applied QTL analyses to the workshop common data set which contained a time-related trait: cumulative yield. Underlying the trait were 18 QTLs for three parameter...

    Authors: Chris Maliepaard, John W M Bastiaansen, Mario P L Calus, Albart Coster and Marco C A M Bink
    Citation: BMC Proceedings 2010 4(Suppl 1):S2
  3. The simulation of the data for the QTLMAS 2009 Workshop is described. Objective was to simulate observations from a growth curve which was influenced by a number of QTL.

    Authors: Albart Coster, John W M Bastiaansen, Mario P L Calus, Chris Maliepaard and Marco C A M Bink
    Citation: BMC Proceedings 2010 4(Suppl 1):S3
  4. Genomic selection describes a selection strategy based on genomic estimated breeding values (GEBV) predicted from dense genetic markers such as single nucleotide polymorphism (SNP) data. Different Bayesian mod...

    Authors: Klara L Verbyla, Philip J Bowman, Ben J Hayes and Michael E Goddard
    Citation: BMC Proceedings 2010 4(Suppl 1):S5
  5. Bayesian approaches for predicting genomic breeding values (GEBV) have been proposed that allow for different variances for individual markers resulting in a shrinkage procedure that uses prior information to ...

    Authors: Matthew A Cleveland, Selma Forni, Nader Deeb and Christian Maltecca
    Citation: BMC Proceedings 2010 4(Suppl 1):S6
  6. The simulated dataset of the 13th QTL-MAS workshop was analysed to i) detect QTL and ii) predict breeding values for animals without phenotypic information. Several parameterisations considering all SNP simultane...

    Authors: Roel F Veerkamp, Klara L Verbyla, Han A Mulder and Mario P L Calus
    Citation: BMC Proceedings 2010 4(Suppl 1):S9
  7. New molecular technologies allow high throughput genotyping for QTL mapping with dense genetic maps. Therefore, the interest of linkage analysis models against linkage disequilibrium could be questioned. As th...

    Authors: Olivier Demeure, Nicola Bacciu, Olivier Filangi and Pascale Le Roy
    Citation: BMC Proceedings 2010 4(Suppl 1):S10
  8. We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the QTLMAS2009 workshop to derive a comprehensive set of results. A Gompert...

    Authors: Georgia Hadjipavlou, Gib Hemani, Richard Leach, Bruno Louro, Javad Nadaf, Suzanne Rowe and Dirk-Jan de Koning
    Citation: BMC Proceedings 2010 4(Suppl 1):S11
  9. Identification of QTL affecting a phenotype which is measured multiple times on the same experimental unit is not a trivial task because the repeated measures are not independent and in most cases show a trend...

    Authors: Henri C M Heuven and Luc L G Janss
    Citation: BMC Proceedings 2010 4(Suppl 1):S12

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