Multiple-Interval Mapping for Quantitative Trait Loci With a Spike in the Trait Distribution

作者：Li, Wenyun; Chen, Zehua^*

来源：Genetics, 2009, 182(1): 337-342.

DOI：10.1534/genetics.108.099028

For phenotypic distributions where many individuals share a common value-such as survival time following a pathogenic infection-a spike occurs at that common value. This spike affects quantitative trait loci (QTL) mapping methodologies and causes standard approaches to perform suboptimally. In this article, we develop a multiple-interval mapping (MIM) procedure based on mixture generalized linear models (GLIMs). An extended Bayesian information criterion (EBIC) is used for model selection. To demonstrate its utility, this new approach is compared to single-QTL models that appropriately handle the phenotypic distribution. The method is applied to data from Listeria infection as well as data from simulation studies. Compared to the single-QTL model, the findings demonstrate that the MIM procedure greatly improves the efficiency in terms of positive selection rate and false discovery rate. The method developed has been implemented using functions in R and is freely available to download and use.

• 出版日期2009-5
• 单位中山大学