A quantitative trait locus mixture model that avoids spurious LOD score peaks

Genetics
Bjarke Feenstra, Ib M Skovgaard

Abstract

In standard interval mapping of quantitative trait loci (QTL), the QTL effect is described by a normal mixture model. At any given location in the genome, the evidence of a putative QTL is measured by the likelihood ratio of the mixture model compared to a single normal distribution (the LOD score). This approach can occasionally produce spurious LOD score peaks in regions of low genotype information (e.g., widely spaced markers), especially if the phenotype distribution deviates markedly from a normal distribution. Such peaks are not indicative of a QTL effect; rather, they are caused by the fact that a mixture of normals always produces a better fit than a single normal distribution. In this study, a mixture model for QTL mapping that avoids the problems of such spurious LOD score peaks is presented.

References

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Citations

Jan 6, 2006·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·M J ChristiansenS B Andersen
Nov 21, 2008·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·Xin WangZhixiang Luo
Nov 1, 2008·Bioinformatics·Runqing YangHongwen Deng
Aug 28, 2020·TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·D C Lopez AriasV Soufflet-Freslon

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