TAILIEUCHUNG - Báo cáo sinh học: " Detection of multiple QTL with epistatic effects under a mixed inheritance model in an outbred population"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Detection of multiple QTL with epistatic effects under a mixed inheritance model in an outbred population | Genet. Sel. Evol. 36 2004 415-433 415 INRA EDP Sciences 2004 DOI gse 2004009 Original article Detection of multiple QTL with epistatic effects under a mixed inheritance model in an outbred population Akira Narita Yoshiyuki Sasaki Laboratory of Animal Breeding and Genetics Division of Applied Biosciences Graduate School of Agriculture Kyoto University Kyoto 606-8502 Japan Received 11 August 2003 accepted 12 February 2004 Abstract - A quantitative trait depends on multiple quantitative trait loci QTL and on the interaction between two or more QTL named epistasis. Several methods to detect multiple QTL in various types of design have been proposed but most of these are based on the assumption that each QTL works independently and epistasis has not been explored sufficiently. The objective of the study was to propose an integrated method to detect multiple QTL with epistases using Bayesian inference via a Markov chain Monte Carlo MCMC algorithm. Since the mixed inheritance model is assumed and the deterministic algorithm to calculate the probabilities of QTL genotypes is incorporated in the method this can be applied to an outbred population such as livestock. Additionally we treated a pair of QTL as one variable in the Reversible jump Markov chain Monte Carlo RJMCMC algorithm so that two QTL were able to be simultaneously added into or deleted from a model. As a result both of the QTL can be detected not only in cases where either of the two QTL has main effects and they have epistatic effects between each other but also in cases where neither of the two QTL has main effects but they have epistatic effects. The method will help ascertain the complicated structure of quantitative traits. Bayesian inference multiple QTL epistasis outbred population mixed inheritance model 1. INTRODUCTION It may be more realistic that interlocus interactions epistasis between two or more quantitative trait loci QTL as well as the main effects of QTL themselves play an important .

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