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doi:10.1534/genetics.106.067033
A more recent version of this article appeared on May 1, 2007.
REGULAR RESEARCH PAPERS |
Power to detect higher-order epistatic interactions in a metabolic pathway using a new mapping strategy
Benjamin Stich 1, Jianming Yu 2, Albrecht E. Melchinger 1*, Hans-Peter Piepho 3, Friedrich Utz 1, Hans P Maurer 1 and Edward S Buckler 2
1 Institute of Plant Breeding, Seed Science, and Population Genetics; University of Hohenheim
2 Institute for Genomic Diversity; Cornell University
3 Institute for Crop Production and Grassland Research; University of Hohenheim
* To whom correspondence should be addressed. E-mail: melchinger{at}uni-hohenheim.de.
Submitted on October 20, 2006
Revised on December 8, 2006
Accepted on 20 December 2006
Epistatic interactions among quantitative trait loci (QTL) contribute substantially to the variation in complex traits. The main objectives of this study were to (i) compare three- vs. four-step genome scans to identify three-way epistatic interactions among QTL belonging to a metabolic pathway, (ii) investigate by computer simulations the power and proportion of false positives (PFP) for detecting three-way interactions among QTL in recombinant inbred line (RIL) populations derived from a nested mating design, and (iii) compare these estimates to those obtained for detecting three-way interactions among QTL in RIL populations derived from diallel and different partial diallel mating designs. The single nucleotide polymorphism haplotype data of B73 and 25 diverse maize inbreds were used to simulate the production of various RIL populations. Compared to the three-step genome scan, the power to detect three-way interactions was higher with the four-step genome scan. Higher power to detect three-way interactions was observed for RILs derived from optimally allocated distance-based designs than from nested designs or diallel designs. The power and PFP to detect three-way interactions using a nested design with 5000 RILs was for both the 4 QTL and the 12 QTL scenario of a magnitude that seems promising for their identification.
Key Words: Genome sequence, Higher-order epistasis, Maize, Metabolic pathway, RILs
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