Accuracy of imputation to whole-genome sequence in sheep

Author:

Bolormaa Sunduimijid,Chamberlain Amanda J.,Khansefid Majid,Stothard Paul,Swan Andrew A.,Mason Brett,Prowse-Wilkins Claire P.,Duijvesteijn Naomi,Moghaddar Nasir,van der Werf Julius H.,Daetwyler Hans D.,MacLeod Iona M.

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Reference34 articles.

1. Brown DJ, Swan AA, Boerner V, Li L, Gurman PM, McMillan AJ, et al. Single-step genetic evaluations in the Australian sheep industry. In: Proceedings of the world congress on genetics applied to livestock production: 11–16 February 2018; Auckland; 2018.

2. Daetwyler HD, Capitan A, Pausch H, Stothard P, van Binsbergen R, Brondum RF, et al. Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle. Nat Genet. 2014;46:858–65.

3. Khansefid M, Bolormaa S, Swan AA, van der Werf JHJ, Moghaddar N, Duijvesteijn N, et al. Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models. In: the Proceedings of the world congress on genetics applied to livestock production: 11–16 February 2018; Auckland; 2018.

4. MacLeod IM, Bowman PJ, Vander Jagt CJ, Haile-Mariam M, Kemper KE, Chamberlain AJ, et al. Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. BMC Genomics. 2016;17:144.

5. Brøndum RF, Su G, Janss L, Sahana G, Guldbrandtsen B, Boichard D, et al. Quantitative trait loci markers derived from whole genome sequence data increases the reliability of genomic prediction. J Dairy Sci. 2015;98:4107–16.

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