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Citing

Software

  • Cheng, H., Fernando, R. L., and Garrick, D. J. 2018 JWAS: Julia implementation of whole-genome analysis software. Proceedings of the World Congress on Genetics Applied to Livestock Production,11.859. Auckland, New Zealand.

Methods

single-trait BayesA

  • Meuwissen T, Hayes B, Goddard M. 2001 Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157:1819–1829.

single-trait BayesB

  • Meuwissen T, Hayes B, Goddard M. 2001 Prediction of total genetic value using genome-wide dense marker maps. Genetics, 157:1819–1829.
  • Cheng H, Garrick D, Fernando R. 2015 A fast and efficient Gibbs sampler for BayesB in whole-genome analyses. Genet Sel Evol, 47:80.

single-trait BayesC

  • Habier D, Fernando R, Kizilkaya K, Garrick D. 2011 Extension of the bayesian alphabet for genomic selection. BMC Bioinformatics, 12(1), 186.

single-trait Bayesian LASSO

  • Gianola, D., & Fernando, R. L. (2019). A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits. Genetics, 214(2), genetics.302934.2019–331.

multi-trait Bayesian Alphabet

  • Cheng H, Kizilkaya K, Zeng J, Garrick D, Fernando R 2018 Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors. Genetics, 209(1): 89-103.

single-step Bayesian Alphabet

  • Fernando R, Dekkers J,Garrick D. 2015 A class of Bayesian methods to combine large numbers of genotyped and non-genotyped animals for whole-genome analyses. Genetics Selection Evolution, 46(1), 50.

  • Fernando, R. L., Cheng, H., Golden, B. L., & Garrick, D. J. (2016). Computational strategies for alternative single-step Bayesian regression models with large numbers of genotyped and non-genotyped animals. Genetics Selection Evolution, 48(1), 96.

GWAS

  • Fernando R, Garrick D. 2013 Bayesian methods applied to GWAS. Methods Mol Biol., 1019:237–274.
  • Fernando, R., Toosi, A., Wolc, A., Garrick, D., & Dekkers, J. (2017). Application of Whole-Genome Prediction Methods for Genome-Wide Association Studies: A Bayesian Approach. Journal of Agricultural, Biological and Environmental Statistics, 57(4), 1–22.