Funmap2: an R package for QTL mapping using longitudinal phenotypes

Author:

Wang Nating1,Chu Tinyi2,Luo Jiangtao3,Wu Rongling1,Wang Zhong14

Affiliation:

1. College of Biological Sciences and Technology, Beijing Forestry University, Beijing, China

2. Graduate field of Computational Biology, Cornell University, Ithaca, NY, United States of America

3. Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States of America

4. Baker Institute for Animal Health, College of Veterinary Medicine, Cornell College, Ithaca, NY, United States of America

Abstract

Quantitative trait locus (QTL) mapping has been used as a powerful tool for inferring the complexity of the genetic architecture that underlies phenotypic traits. This approach has shown its unique power to map the developmental genetic architecture of complex traits by implementing longitudinal data analysis. Here, we introduce the R package Funmap2 based on the functional mapping framework, which integrates prior biological knowledge into the statistical model. Specifically, the functional mapping framework is engineered to include longitudinal curves that describe the genetic effects and the covariance matrix of the trait of interest. Funmap2 chooses the type of longitudinal curve and covariance matrix automatically using information criteria. Funmap2 is available for download at https://github.com/wzhy2000/Funmap2.

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Training Program of Innovation and Entrepreneurship for Undergraduates

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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