A nonlinear mixed-effect mixture model for functional mapping of dynamic traits

作者：Hou W; Li H; Zhang B; Huang M; Wu R^*

来源：Heredity, 2008, 101(4): 321-328.

DOI：10.1038/hdy.2008.53

• mixture model
• nonlinear mixed-effect model
• growth trajectories
• QTL mapping
• poplar

Functional mapping has emerged as a next-generation statistical tool for mapping quantitative trait loci (QTL) that affect complex dynamic traits. In this article, we incorporated the idea of nonlinear mixed-effect (NLME) models into the mixture-based framework of functional mapping, aimed to generalize the spectrum of applications for functional mapping. NLME-based functional mapping, implemented with the linearization algorithm based on the first-order Taylor expansion, can provide reasonable estimates of QTL genotypic-specific curve parameters ( fixed effect) and the between-individual variation of these parameters (random effect). Results from simulation studies suggest that the NLME-based model is more general than traditional functional mapping. The new model can be useful for the identification of the ontogenetic patterns of QTL genetic effects during time course.

• 出版日期2008-10
• 单位南京林业大学