Functional Mapping of Multiple Dynamic Traits
Jiguo Cao, Liangliang Wang, Zhongwen Huang, Junyi Gai, and Rongling Wu

TL;DR
This paper introduces a multivariate functional mapping model to identify QTLs influencing multiple developmental traits over time, using nonparametric regression and mixture models, demonstrated on soybean biomass data.
Contribution
Developed a novel multivariate functional mapping approach for multiple dynamic traits that accounts for unknown genotypes and pleiotropic effects.
Findings
Successfully identified QTLs affecting soybean biomass traits.
Demonstrated the model's effectiveness through simulation studies.
Provided insights into genetic control of complex dynamic traits.
Abstract
Many biological phenomena undergo developmental changes in time and space. Functional mapping, which is aimed at mapping genes that affect developmental patterns, is instrumental for studying the genetic architecture of biological changes. Often biological processes are mediated by a network of developmental and physiological components and, therefore, are better described by multiple phenotypes. In this article, we develop a multivariate model for functional mapping that can detect and characterize quantitative trait loci (QTLs) that simultaneously control multiple dynamic traits. Because the true genotypes of QTLs are unknown, the measurements for the multiple dynamic traits are modeled using a mixture distribution. The functional means of the multiple dynamic traits are estimated using the nonparametric regression method, which avoids any parametric assumption on the functional…
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Taxonomy
TopicsGenetic Mapping and Diversity in Plants and Animals · Soybean genetics and cultivation · Wheat and Barley Genetics and Pathology
