QTL mapping in outbred half-sib families using Bayesian model selection

被引：4

作者：

Fang, M. ^{[1
,2
]}

Liu, J. ^{[1
]}

Sun, D. ^{[1
]}

Zhang, Y. ^{[1
]}

Zhang, Q. ^{[1
]}

Zhang, Y. ^{[1
]}

Zhang, S. ^{[1
]}

机构：

[1] China Agr Univ, Dept Anim Genet & Breeding, Key Lab Anim Genet & Breeding,Minist Agr, Natl Engn Lab Anim Breeding,Coll Anim Sci & Techn, Beijing 100193, Peoples R China

[2] Heilongjiang Bayi Agr Univ, Dept Life Sci, Daqing, Peoples R China

来源：

HEREDITY | 2011年 / 107卷 / 03期

基金：

高等学校博士学科点专项科研基金; 北京市自然科学基金; 中国国家自然科学基金;

关键词：

Bayesian model selection; variance component model; Markov chain Monte Carlo algorithm; QTL mapping; QUANTITATIVE TRAIT LOCI; MILK-PRODUCTION TRAITS; RESIDUAL MAXIMUM-LIKELIHOOD; DAIRY-CATTLE; LINKAGE DISEQUILIBRIUM; OUTCROSS POPULATIONS; VARIABLE SELECTION; MULTIPLE QTL; CHROMOSOME-6; IDENTITY;

D O I：

10.1038/hdy.2011.15

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

In this article, we propose a model selection method, the Bayesian composite model space approach, to map quantitative trait loci (QTL) in a half-sib population for continuous and binary traits. In our method, the identity-by-descentbased variance component model is used. To demonstrate the performance of this model, the method was applied to map QTL underlying production traits on BTA6 in a Chinese half-sib dairy cattle population. A total of four QTLs were detected, whereas only one QTL was identified using the traditional least square (LS) method. We also conducted two simulation experiments to validate the efficiency of our method. The results suggest that the proposed method based on a multiple-QTL model is efficient in mapping multiple QTL for an outbred half-sib population and is more powerful than the LS method based on a single-QTL model. Heredity (2011) 107, 265-276; doi: 10.1038/hdy.2011.15; published online 13 April 2011

引用

页码：265 / 276

页数：12

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