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doi:10.1534/genetics.106.066571
A more recent version of this article appeared on April 1, 2007.
REGULAR RESEARCH PAPERS |
Genome-wide Analysis of Epistatic Effects for Quantitative Traits in Barley
Shizhong Xu 1* and Zhenyu Jia 1
1 University of California
* To whom correspondence should be addressed. E-mail: xu{at}genetics.ucr.edu.
Submitted on October 6, 2006
Revised on November 7, 2006
Accepted on 13 January 2007
The doubled-haploid (DH) barley population (Harrington X TR306) developed by the North American Barley Genome Mapping Project (NABGMP) for QTL mapping consisted of 145 lines and 127 markers covering a total genome length of 1270 cM. These DH lines were evaluated in about 25 environments for seven quantitative traits: heading, height, kernel weight, lodging, maturity, test weight and yield. We applied an empirical Bayes method that simultaneously estimates 127 main effects for all markers and interaction effects for all marker pairs in a single model. We found that the largest main effect QTL (single marker) and the largest epistatic effect (single pair of markers) explained about 18% and 2.6% of the phenotypic variance, respectively. On average, the sum of all significant main effects and the sum of all significant epistatic effects contributed 35% and 6% of the total phenotypic variance, respectively. Epistasis seems to be negligible for all the seven traits. We also found that whether two loci interact does not depend on whether or not the loci have individual main effects. This invalidates the common practice of epistatic analysis in which epistatic effects are only estimated for pairs of loci of which both have main effects.
Key Words: Empirical Bayes, Mixed model, Permutation test, QTL mapping, Variance components
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