Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value | Genetics Selection Evolution BioMed Central Research A fast algorithm for BayesB type of prediction of genome-wide estimates of genetic value Theo HE Meuwissen 1 Trygve R Solberg1 Ross Shepherd3 and John A Woolliams1 2 Open Access Address 1Institute Animal and Aquacultural Sciences Norwegian University of Life Sciences Box 5003 N1432 As Norway 2The Roslin Institute Royal Dick School of Veterinary Studies University of Edinburgh Roslin Midlothian EH25 9PS UK and 3Faculty of Business and Informatics Central Queensland University Rockhampton 4702 Queensland Australia Email Theo HE Meuwissen - Trygve R Solberg - Ross Shepherd - John AWoolliams - Corresponding author Published 5 January 2009 Received 16 December 2008 Genetics Selection Evolution 2009 41 2 doi 1297-9686-41-2 Accepted 5 January 2009 This article is available from http content 41 1 2 2009 Meuwissen et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Genomic selection uses genome-wide dense SNP marker genotyping for the prediction of genetic values and consists of two steps 1 estimation of SNP effects and 2 prediction of genetic value based on SNP genotypes and estimates of their effects. For the former step BayesB type of estimators have been proposed which assume a priori that many markers have no effects and some have an effect coming from a gamma or exponential distribution . a fat-tailed distribution. Whilst such estimators have been developed using Monte Carlo Markov chain MCMC here we derive a much faster non-MCMC based estimator by .
