Comparative Analysis of a Hierarchical Bayesian Method for Quantitative Trait Loci Analysis for the Arabidopsis Thaliana

  • Caroline Pearson
  • Susan J. Simmons
  • Karl RicanekJr.
  • Edward L. Boone
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4774)


This work performs an analysis on two, quite different, techniques for Quantitative Trait Loci (QTL) Analysis. Interval Mapping (IM) as described by Karl Broman is compared to a Hierarchical Bayesian Model (HBM) technique that reduces the problem of QTL analysis down to one of model selection. Simulations were generated for the flowering plant of the Arabidopsis thaliana for evaluation of the techniques. It is shown that the HBM technique was much more successful at determining the appropriate loci/markers and corresponding chromosomes than the IM technique given a single loci. It was further elucidated through simulation runs that the HBM was robust against two loci/markers, whereas IM completely failed. The contribution of this work is in the comparison and analysis of the IM method to that of the HBM; hence, demonstrating through simulations that the HBM technique is superior to that of the IM for the Arabidopsis simulated data.


Quantitative Trait Loci (QTL) Analysis Arabidopsis Interval Mapping Hierarchical Bayesian Model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Caroline Pearson
    • 1
  • Susan J. Simmons
    • 1
  • Karl RicanekJr.
    • 2
  • Edward L. Boone
    • 3
  1. 1.University of North Carolina Wilmington, Department of Mathematics and Statistics 
  2. 2.University of North Carolina Wilmington, Department of Computer Science, 601 South College Road, Wilmington, North Carolina, 28403USA
  3. 3.Virginia Commonwealth University, Department of Statistical Sciences and Operations Research, Richmond, Virginia, 23284USA

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