TAILIEUCHUNG - Báo cáo sinh học: "Comparison of four statistical methods for detection of a major gene in a progeny test design"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Comparison of four statistical methods for detection of a major gene in a progeny test design | Genet. Sei. Evol. 1989 21 341-357 Elsevier INRA 341 Original article Comparison of four statistical methods for detection of a major gene in a progeny test design p. Le Roy1 . Eisen1 and s. Knott2 1 Institut National de la Recherche Agronomique centre de recherches de Toulouse station d amelioration génétique des animaux Auzeville 31326 Castanet-Tolosan Cedex France 2 AFRO IAPGR Edinburgh Research Station Roslin Midlothian EH 25 9PS UK received 17 August 1988 accepted 23 January 1989 Summary - In livestock improvement it is common to design a progeny test of sires in order to estimate their breeding values. The data recorded for these estimate are useful for the detection of major genes. They are the performances Yịj of m progeny j of n sires i. These data need to be corrected for the polygenic influence of the sire on its progeny sire i effect Uị . Four statistical tests of the segregation of a major gene are compared. The first sa for segregation analysis is the classical ratio of the likelihoods under Hữ no major gene and Hl a major gene is segregating . The parameters describing the population means and standard deviations within genotype are estimated by maximizing the marginal likelihood of the Yij. The other statistics studied are approximations of this ZgA statistic where the sire i effect t j is considered as a fixed effect Zfe statistic or following Eisen et al. 1988 and Hoschele 1988 where the parameters and Ui are estimated maximizing the joint likelihood of Ui and Yij ME1 and ZME2 statistics . Simulation studies were done in order to describe the distribution of these statistics. It is shown that Is A and Zmei are the most powerful test followed by Zme2 whose relative loss of power ranged between 20 and 40 depending on the Hl case studied when 400 progeny are measured n m 20 . The segregation analysis based on direct maximizatioii of the likelihood required 30 times more computation time than the me test using an EM algorithm. major gene - .

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