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Extending the modified bayesian information criterion (mBIC) to dense markers and multiple interval mapping

Bogdan M, Frommlet F, Biecek P, Cheng R, Ghosh JK, Doerge RW.
Institute of Mathematics and Computer Science, Wrocław University of Technology, Wrocław, Poland.

Abstract:
The modified version of Bayesian Information Criterion (mBIC) is a relatively simple model selection procedure that can be used when locating multiple interacting quantitative trait loci (QTL). Our earlier work demonstrated the statistical properties of mBIC for situations where the average genetic map interval is at least 5 cM. In this work mBIC is adapted to genome searches based on a dense map and, more importantly, to the situation where consecutive QTL and interactions are located by multiple interval mapping. Easy to use formulas for the extended mBIC are given. A simulation study, as well as the analysis of real data, confirm the good properties of the extended mBIC. [1]

  1. Bogdan M et al. (2008) Extending the modified bayesian information criterion (mBIC) to dense markers and multiple interval mapping. Biometrics 64: 1162-9 PubMed
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