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Volume 6 Supplement 2

Proceedings of the 15th European workshop on QTL mapping and marker assisted selection (QTLMAS)

Proceedings

15th European workshop on QTL mapping and marker assisted selection (QTLMAS). Go to conference site.

Rennes, France19-20 May 2011

  1. Our aim was to simulate the data for the QTLMAS2011 workshop following a pig-type family structure under an oligogenic model, each QTL being specific.

    Authors: Jean-Michel Elsen, Simon Tesseydre, Olivier Filangi, Pascale Le Roy and Olivier Demeure

    Citation: BMC Proceedings 2012 6(Suppl 2):S1

    Content type: Proceedings

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  3. The QTLMAS XVth dataset consisted of pedigree, marker genotypes and quantitative trait performances of animals with a sib family structure. Pedigree and genotypes concerned 3,000 progenies among those 2,000 were ...

    Authors: Pascale Le Roy, Olivier Filangi, Olivier Demeure and Jean-Michel Elsen

    Citation: BMC Proceedings 2012 6(Suppl 2):S3

    Content type: Proceedings

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  4. Despite many success stories of genome wide association studies (GWAS), challenges exist in QTL detection especially in datasets with many levels of relatedness. In this study we compared four methods of GWA o...

    Authors: Golam R Dashab, Naveen K Kadri, Mohammad M Shariati and Goutam Sahana

    Citation: BMC Proceedings 2012 6(Suppl 2):S4

    Content type: Proceedings

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  5. The mixed model based single locus regression analysis (MMRA) method was used to analyse the common simulated dataset of the 15th QTL-MAS workshop to detect potential significant association between single nuc...

    Authors: Wei-Xuan Fu, Chong-Long Wang, Xiang-Dong Ding, Zhe Zhang, Pei-Pei Ma, Zi-Qing Weng, Jian-Feng Liu and Qin Zhang

    Citation: BMC Proceedings 2012 6(Suppl 2):S5

    Content type: Proceedings

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  6. Five main methods, commonly applied in genomic selection, were used to estimate the GEBV on the 15th QTLMAS workshop dataset: GBLUP, LASSO, Bayes A and two Bayes B type of methods (BBn and BBt). GBLUP is a mixed ...

    Authors: Javad Nadaf, Valentina Riggio, Tun-Ping Yu and Ricardo Pong-Wong

    Citation: BMC Proceedings 2012 6(Suppl 2):S6

    Content type: Proceedings

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  7. The goal of this study was to apply Bayesian and GBLUP methods to predict genomic breeding values (GEBV), map QTL positions and explore the genetic architecture of the trait simulated for the 15th QTL-MAS worksho...

    Authors: Jian Zeng, Marcin Pszczola, Anna Wolc, Tomasz Strabel, Rohan L Fernando, Dorian J Garrick and Jack CM Dekkers

    Citation: BMC Proceedings 2012 6(Suppl 2):S7

    Content type: Proceedings

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  10. Genomic selection (GS) is emerging as an efficient and cost-effective method for estimating breeding values using molecular markers distributed over the entire genome. In essence, it involves estimating the si...

    Authors: Joseph O Ogutu, Torben Schulz-Streeck and Hans-Peter Piepho

    Citation: BMC Proceedings 2012 6(Suppl 2):S10

    Content type: Proceedings

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  11. The aim of this study was to estimate haplotype effects and then to predict breeding values using linear models. The haplotype based analysis enables avoidance of loosing information due to linkage disequilibr...

    Authors: Anna Mucha and Heliodor Wierzbicki

    Citation: BMC Proceedings 2012 6(Suppl 2):S11

    Content type: Proceedings

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  13. Genomic breeding value estimation is the key step in genomic selection. Among many approaches, BLUP methods and Bayesian methods are most commonly used for estimating genomic breeding values. Here, we applied ...

    Authors: Chong-Long Wang, Pei-Pei Ma, Zhe Zhang, Xiang-Dong Ding, Jian-Feng Liu, Wei-Xuan Fu, Zi-Qing Weng and Qin Zhang

    Citation: BMC Proceedings 2012 6(Suppl 2):S13

    Content type: Proceedings

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