References

• Chen, C.Y., Misztal, I., Aguilar, I., Legarra, A. and Muir, W.M., 2011. Effect of different genomic relationship matrices on accuracy and scale. Journal of Animal Science, 89(9), pp.2673-2679.
• Christensen, OF, P. Madsen, B. Nielsen, T. Ostersen, and G. Su. 2012. Single-Step Methods for Genomic Evaluation in Pigs. Animal 6: 1565–71.
• Foulley, J.L., Gianola, D. and Thompson, R., 1983. Prediction of genetic merit from data on binary and quantitative variates with an application to calving difficulty, birth weight and pelvic opening. Genetics Selection Evolution, 15(3), p.1.
• Hoeschele, I., Tier, B. and Graser, H.U., 1995. Multiple-trait genetic evaluation for one polychotomous trait and several continuous traits with missing data and unequal models. Journal of animal science, 73(6), pp.1609-1627.
• Janss, L.L.G. and Foulley, J.L., 1993. Bivariate analysis for one continuous and one threshold dichotomous trait with unequal design matrices and an application to birth weight and calving difficulty. Livestock Production Science, 33(3), pp.183-198.
• Legarra, A., Bertrand, J.K., Strabel, T., Sapp, R.L., Sanchez, J.P. and Misztal, I., 2007. Multi-breed genetic evaluation in a Gelbvieh population. Journal of Animal Breeding and Genetics, 124(5), pp.286-295.
• Lourenco, D.A.L., Tsuruta, S., Fragomeni, B.O., Masuda, Y., Aguilar, I., Legarra, A., Bertrand, J.K., Amen, T.S., Wang, L., Moser, D.W. and Misztal, I., 2015. Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus. Journal of Animal Science, 93(6), pp.2653-2662.
• Masuda, Y., Aguilar, I., Tsuruta, S. and Misztal, I., 2015. Technical note: Acceleration of sparse operations for average-information REML analyses with supernodal methods and sparse-storage refinements. Journal of Animal Science, 93(10), pp.4670-4674.
• Masuda, Y., Baba, T. and Suzuki, M., 2014. Application of supernodal sparse factorization and inversion to the estimation of (co) variance components by residual maximum likelihood. Journal of Animal Breeding and Genetics, 131(3), pp.227-236.
• Misztal, I., Tsuruta, S., Aguilar, I., Legarra, A., VanRaden, P.M. and Lawlor, T.J., 2013. Methods to approximate reliabilities in single-step genomic evaluation. Journal of dairy science, 96(1), pp.647-654.
• Misztal, I. and Wiggans, G.R., 1988. Approximation of prediction error variance in large-scale animal models. Journal of Dairy Science, 71, pp.27-32.
• Misztal, I. 2008. Reliable computing in estimation of variance components. Journal of Animal Breeding and Genetics, 125(6), pp.363-370.
• Mrode, R. A. 2014. Linear Models for the Prediction of Animal Breeding Values. Third Edition. CAB International, Wallingford, Oxon, UK.
• Powell, J.E., Visscher, P.M. and Goddard, M.E., 2010. Reconciling the analysis of IBD and IBS in complex trait studies. Nature Reviews Genetics, 11(11), pp.800-805.
• Sanchez, J.P., Misztal, I., Aguilar, I. and Bertrand, J.K., 2008. Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models. Journal of animal science, 86(2), pp.267-277.
• Sorensen, D.A., Andersen, S., Gianola, D. and Korsgaard, I., 1995. Bayesian inference in threshold models using Gibbs sampling. Genetics Selection Evolution, 27(3), p.1.
• Strabel, T., Misztal, I. and Bertrand, J.K., 2001. Approximation of reliabilities for multiple-trait model with maternal effects. Journal of Animal Science, 79(4), pp.833-839.
• Stranden, I. and Lidauer, M., 1999. Solving large mixed linear models using preconditioned conjugate gradient iteration. Journal of dairy science, 82(12), pp.2779-2787.
• Tsuruta, S., Misztal, I. and Stranden, I., 2001. Use of the preconditioned conjugate gradient algorithm as a generic solver for mixed-model equations in animal breeding applications. Journal of Animal Science, 79(5), pp.1166-1172.
• Vitezica, Z.G., Aguilar, I., Misztal, I. and Legarra, A., 2011. Bias in genomic predictions for populations under selection. Genetics Research, 93(05), pp.357-366.
• Wang, H., Misztal, I., Aguilar, I., Legarra, A. and Muir, W.M., 2012. Genome-wide association mapping including phenotypes from relatives without genotypes. Genetics Research, 94(02), pp.73-83.
• Wang, C.S., Quaas, R.L. and Pollak, E.J., 1997. Bayesian analysis of calving ease scores and birth weights. Genetics Selection Evolution, 29(2), p.1.

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