Genomic selection using a fast EM algorythm. 2. Analysis of simulated data

R.K. Shepherd, T.H.E. Meuwissen, J.A. Woolliams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageUndefined/Unknown
Title of host publicationProceedings 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 PublicationAdelaide
PublisherAssociation for the Advancement of Animal Breeding and Genetics
Pages84-87
Number of pages4
Publication statusPublished - 2009
EventAssociation for the Advancement of Animal Breeding and Genetics - Barossa Valley, Australia
Duration: 28 Sep 20091 Oct 2009

Conference

ConferenceAssociation for the Advancement of Animal Breeding and Genetics
CountryAustralia
CityBarossa Valley
Period28/09/091/10/09

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