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Volume 3 Supplement 1

Proceedings of the 12th European workshop on QTL mapping and marker assisted selection

Proceedings

Publication of this supplement was supported by EADGENE (European Animal Disease Genomics Network of Excellence).

12th European workshop on QTL mapping and marker assisted selection. Go to conference site.

Uppsala, Sweden15-16 May 2008

  1. A dataset was simulated and distributed to participants of the QTLMAS XII workshop who were invited to develop genomic selection models. Each contributing group was asked to describe the model development and ...

    Authors: Mogens Sandø Lund, Goutam Sahana, Dirk-Jan de Koning, Guosheng Su and Örjan Carlborg
    Citation: BMC Proceedings 2009 3(Suppl 1):S1
  2. As part of the QTLMAS XII workshop, a simulated dataset was distributed and participants were invited to submit analyses of the data based on genome-wide association, fine mapping and genomic selection. We hav...

    Authors: Lucy Crooks, Goutam Sahana, Dirk-Jan de Koning, Mogens Sandø Lund and Örjan Carlborg
    Citation: BMC Proceedings 2009 3(Suppl 1):S2
  3. Dense marker maps require efficient statistical methods for QTL fine mapping that work fast and efficiently with a large number of markers. In this study, the simulated dataset for the XIIth QTLMAS workshop wa...

    Authors: Joaquim Tarres, François Guillaume and Sébastien Fritz
    Citation: BMC Proceedings 2009 3(Suppl 1):S3
  4. The ultimate goal of QTL studies is to find causative mutations, which requires additional expression studies. Given the limited amount of time and funds, the smart option is to identify the most important QTL...

    Authors: Henri CM Heuven, John WM Bastiaansen and Stéphanie M van den Berg
    Citation: BMC Proceedings 2009 3(Suppl 1):S8
  5. Genome-wide association studies have successfully identified several loci underlying complex diseases in humans. The development of high density SNP maps in domestic animal species should allow the detection o...

    Authors: Mônica Corrêa Ledur, Nicolas Navarro and Miguel Pérez-Enciso
    Citation: BMC Proceedings 2009 3(Suppl 1):S9
  6. Genomic breeding values were estimated using a Gibbs sampler that avoided the use of the Metropolis-Hastings step as implemented in the BayesB model of Meuwissen et al., Genetics 2001, 157:1819–1829.

    Authors: Mario PL Calus, Sander PW de Roos and Roel F Veerkamp
    Citation: BMC Proceedings 2009 3(Suppl 1):S10
  7. In this study we compared different statistical procedures for estimating SNP effects using the simulated data set from the XII QTL-MAS workshop. Five procedures were considered and tested in a reference popul...

    Authors: Eduardo CG Pimentel, Sven König, Flavio S Schenkel and Henner Simianer
    Citation: BMC Proceedings 2009 3(Suppl 1):S12
  8. The study focuses on the impact of different sets of single nucleotide polymorphisms (SNPs) selected from the available data set on prediction of genomewide breeding values (GBVs) of animals. Correlations betw...

    Authors: Kacper Żukowski, Tomasz Suchocki, Anna Gontarek and Joanna Szyda
    Citation: BMC Proceedings 2009 3(Suppl 1):S13
  9. The availability of a large amount of SNP markers throughout the genome of different livestock species offers the opportunity to estimate genomic breeding values (GEBVs). However, the estimation of many effect...

    Authors: Nicolò PP Macciotta, Giustino Gaspa, Roberto Steri, Camillo Pieramati, Paolo Carnier and Corrado Dimauro
    Citation: BMC Proceedings 2009 3(Suppl 1):S14

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