Articles | Volume 60, issue 3
Arch. Anim. Breed., 60, 335–346, 2017
Arch. Anim. Breed., 60, 335–346, 2017

Review 29 Sep 2017

Review | 29 Sep 2017

Invited review: Genome-wide association analysis for quantitative traits in livestock – a selective review of statistical models and experimental designs

Markus Schmid and Jörn Bennewitz

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Cited articles

Bennewitz, J., Solberg, T., and Meuwissen, T. H. E.: Genomic breeding value estimation using nonparametric additive regression models, Genet. Sel. Evol., 41, 20,, 2009.
Bennewitz, J., Edel, C., Fries, R., Meuwissen, T. H. E., and Wellmann, R.: Application of a Bayesian dominance model improves power in quantitative trait genome-wide association analysis, Genet. Sel. Evol., 49, 7,, 2017.
Bolormaa, S., Pryce, J. E., Zhang, Y., Reverter, A., Barendse, W., Hayes, B. J., and Goddard, M. E.: Non-additive genetic variation in growth, carcass and fertility traits of beef cattle, Genet. Sel. Evol., 47, 26,, 2015.
Boysen, T. J., Tetens, J., and Thaller, G.: Detection of a quantitative trait locus for ham weight with polar overdominance near the ortholog of the callipyge locus in an experimental pig F2 population, J. Anim. Sci., 88, 3167–3172,, 2010.
Calus, M. P. L., Groen, A. F., and de Jong, G.: Genotype  ×  Environment Interaction for Protein Yield in Dutch Dairy Cattle as Quantified by Different Models, J. Dairy Sci., 85, 3115–3123,, 2002.