Volume Methods and Tools: Statistical and genomic tools for mapping QTL and genes, Proceedings of the World Congress on Genetics Applied to Livestock Production


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J. Bennewitz and Wellmann, R., Mapping Resolution in single and multiple porcine F2 Populations using Genome Sequence Marker Panels, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 184, 2014. (135.48 KB)
Y. Liliana Be Rubio, Duarte, J. Luis Guald, Bates, R. O., Ernst, C. W., Nonneman, D., Rohrer, G. A., D. King, A., Shackelford, S. D., Wheeler, T. L., Cantet, R. J. C., and Steibel, J. P., Meta-analysis of genome wide association studies for pork quality traits, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 185, 2014. (200.59 KB)
M. Soller, Abu-Toamih-Atamni, H., and Iraqi, F., The Collaborative Cross – a next generation mouse genetic resource population for precision agriculture through deep genetic analysis, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 186, 2014. (254.64 KB)
M. Graziano Usai, Casu, S., Sechi, T., Miari, S., Mulas, G., Congiu, G. Battista, Sechi, S., Salaris, S. Luca, and Carta, A., Genome wide association study on milk production traits in a nucleus flock of Sarda breed sheep using a novel method combining linkage and linkage disequilibrium mapping, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 187, 2014. (157.92 KB)
S. Casu, Sechi, T., Usai, M. Graziano, Miari, S., Casula, M., Mulas, G., Giannico, R., Lazzari, B., Stella, A., and Carta, A., Investigating a highly significant QTL for milk protein content segregating in Sarda sheep breed close to the caseins cluster region by whole genome re-sequencing of target animals, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 188, 2014. (186.68 KB)
S. Qanbari, Seidel, M., Strom, T. Matthias, Preisinger, R., and Simianer, H., Footprints of Parallel Selection Revealed by Direct Sequencing in Egg Laying Chicken, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 189, 2014. (657.89 KB)
M. Georges, Charlier, C., Li, W., Harland, C., Littlejohn, M., Creagh, F., Keehan, M. D., Druet, T., Coppieters, W., and Spelman, R., NGS-based reverse genetic screen reveals loss-of-function variants compromising fertility in cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 190, 2014. (214.09 KB)
H. Pausch, Wurmser, C., Edel, C., Emmerling, R., Götz, K. - U., and Fries, R., Exploiting Whole Genome Sequence Data for the Identification of Causal Trait Variants in Cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 191, 2014. (512.57 KB)
J. P. Steibel, Cis and trans-acting eQTL mapping from RNAseq data in swine populations, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 192, 2014. (512.57 KB)
I. M. MacLeod, A Bayesian analysis to exploit imputed sequence variants for QTL discovery, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 193, 2014. (542.23 KB)
G. Sahana, Janss, L., Guldbrandtsen, B., and Lund, M. Sandø, Genetic Architecture of Milk, Fat, Protein, Mastitis and Fertility Studied Using NGS Data in Holstein Cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 194, 2014. (193.3 KB)
K. E. Kemper, Mapping QTL in Australian Dairy cattle using genomic selection methodologies, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 195, 2014. (175.95 KB)
D. Jonas, Application of a three-haplotype LDLA model to the French Holstein population, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 196, 2014. (424.63 KB)
J. Sölkner, Ferenčaković, M., Karimi, Z., O`Brien, A. M. Pérez, Mészáros, G., Eaglen, S., Boison, S. A., and Curik, I., Extremely Non-uniform: Patterns of Runs of Homozygosity in Bovine Populations, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 197, 2014. (554.77 KB)
J. M. Henshall, Piper, E. K., and Tier, B., Haplotype tests for diagnosis of QTL and genes, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 198, 2014. (316.13 KB)
M. E. Goddard, A Research Plan for the Identification of QTL, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 199, 2014. (726.54 KB)
R. Spelman, Tiplady, K., Harland, C., Winkelman, A. M., Sherlock, R. G., Keehan, M. D., and Littlejohn, M., Application of large-scale sequence datasets for the discovery of genomic variations of economic importance in dairy cattle, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 200, 2014. (280 KB)
R. L. Fernando, Garrick, D. J., Toosi, A., and Dekkers, J. C. M., Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: a Bayesian Approach, Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. Methods and Tools: Statistical and genomic tools for mapping QTL and genes, p. 201, 2014. (235.64 KB)