Original Article

Heredity (2009) 103, 368–376; doi:10.1038/hdy.2009.71; published online 15 July 2009

Bayesian shrinkage mapping for multiple QTL in half-sib families

H Gao1,2, M Fang1,3, J Liu1 and Q Zhang1

  1. 1State Key Laboratory of AgroBiotechnology, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China
  2. 2College of Animal Science and Technology, North-East Agricultural University, Harbin, China
  3. 3Life Science College, Heilongjiang August First Land Reclamation University, Daqing, China

Correspondence: Professor Q Zhang, College of Animal Science and Technology, China Agricultural University, Beijing, 100094, People's Republic of China. E-mail: qzhang@cau.edu.cn

Received 1 December 2008; Revised 11 May 2009; Accepted 15 May 2009; Published online 15 July 2009.

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Abstract

Recently, an effective Bayesian shrinkage estimation method has been proposed for mapping QTL in inbred line crosses. However, with regard to outbred populations, such as half-sib populations with maternal information unavailable, it is not straightforward to utilize such a shrinkage estimation for QTL mapping. The reasons are: (1) the linkage phase of markers in the outbred population is usually unknown; and (2) only paternal genotypes can be used for inferring QTL genotypes of offspring. In this article, a novel Bayesian shrinkage method was proposed for mapping QTL under the half-sib design using a mixed model. A simulation study clearly demonstrated that the proposed method was powerful for detecting multiple QTL. In addition, we applied the proposed method to map QTL for economic traits in the Chinese dairy cattle population. Two or more novel QTL harbored in the chromosomal region were detected for each trait of interest, whereas only one QTL was found using traditional maximum likelihood analyses in our earlier studies. This further validated that our shrinkage estimation method could perform well in empirical data analyses and had practical significance in the field of linkage studies for outbred populations.

Keywords:

Bayesian shrinkage analysis, outbred population, multiple QTL

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