Abstract
The paper reports on a fast EM algorithm for genomic selection by mapping QTL in genome-wide dense SNP marker data. The algorithm called emBayesB was used to analyse a 6000 SNP dataset simulated for the QTLMAS XII workshop. True breeding value was accurately predicted by GEBV with a correlation of 0.85 in the validation data, while the regression coefficient of 0.97 indicated unbiased predictions of breeding value. The results were similar to Bayesian MCMC estimates but were calculated in a fraction of the time. emBayesB was also able to accurately map the location of individual QTL which explain more than 1% of the total genetic variation.
Original language | Undefined/Unknown |
---|---|
Title of host publication | Proceedings of the 18th Conference of the Association for the Advancement of Animal Breeding and Genetics, Barossa Valley, South Australia, 28 September - 1 October 2009 |
Place of Publication | Adelaide |
Publisher | Association for the Advancement of Animal Breeding and Genetics |
Pages | 84-87 |
Number of pages | 4 |
Publication status | Published - 2009 |
Event | Association for the Advancement of Animal Breeding and Genetics - Barossa Valley, Australia Duration: 28 Sep 2009 → 1 Oct 2009 |
Conference
Conference | Association for the Advancement of Animal Breeding and Genetics |
---|---|
Country | Australia |
City | Barossa Valley |
Period | 28/09/09 → 1/10/09 |