Articles | Volume 60, issue 3
https://doi.org/10.5194/aab-60-335-2017
https://doi.org/10.5194/aab-60-335-2017
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, https://doi.org/10.1186/1297-9686-41-20, 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, https://doi.org/10.1186/s12711-017-0284-7, 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, https://doi.org/10.1186/s12711-015-0114-8, 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, https://doi.org/10.2527/jas.2009-2565, 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, https://doi.org/10.3168/jds.S0022-0302(02)74399-3, 2002.