Gene Region Association Analysis of Longitudinal Quantitative Traits Based on a Function-On-Function Regression Model

doi:10.3389/fgene.2022.781740

	Gene Region Association Analysis of Longitudinal Quantitative Traits Based on a Function-On-Function Regression Model
	Li, Shijing 1,2; Li, Shiqin3 ; Su, Shaoqiang 1; Zhang, Hui 1,2; Shen, Jiayu 1,2; Wen, Yongxian 1,2
	2022-02-21
发表期刊	FRONTIERS IN GENETICS (IF:2.8[JCR-2023],3.3[5-Year])
EISSN	1664-8021
卷号	13
发表状态	已发表
DOI	10.3389/fgene.2022.781740
摘要	In the process of growth and development in life, gene expressions that control quantitative traits will turn on or off with time. Studies of longitudinal traits are of great significance in revealing the genetic mechanism of biological development. With the development of ultra-high-density sequencing technology, the associated analysis has tremendous challenges to statistical methods. In this paper, a longitudinal functional data association test (LFDAT) method is proposed based on the function-on-function regression model. LFDAT can simultaneously treat phenotypic traits and marker information as continuum variables and analyze the association of longitudinal quantitative traits and gene regions. Simulation studies showed that: 1) LFDAT performs well for both linkage equilibrium simulation and linkage disequilibrium simulation, 2) LFDAT has better performance for gene regions (include common variants, low-frequency variants, rare variants and mixture), and 3) LFDAT can accurately identify gene switching in the growth and development stage. The longitudinal data of the Oryza sativa projected shoot area is analyzed by LFDAT. It showed that there is the advantage of quick calculations. Further, an association analysis was conducted between longitudinal traits and gene regions by integrating the micro effects of multiple related variants and using the information of the entire gene region. LFDAT provides a feasible method for studying the formation and expression of longitudinal traits.
关键词	association testing functional data analysis longitudinal traits gene region rare variants
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收录类别	SCI ; SCIE
语种	英语
WOS研究方向	Genetics & Heredity
WOS类目	Genetics & Heredity
WOS记录号	WOS:000769771200001
出版者	FRONTIERS MEDIA SA
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/165000
专题	生命科学与技术学院_博士生
通讯作者	Wen, Yongxian
作者单位	1.Fujian Agr & Forestry Univ, Coll Comp & Informat Sci, Fuzhou, Peoples R China 2.Fujian Agr & Forestry Univ, Inst Stat & Applict, Fuzhou, Peoples R China 3.Shanghai Tech Univ, Sch Life Sci & Technol, Shanghai, Peoples R China
推荐引用方式 GB/T 7714	Li, Shijing,Li, Shiqin,Su, Shaoqiang,et al. Gene Region Association Analysis of Longitudinal Quantitative Traits Based on a Function-On-Function Regression Model[J]. FRONTIERS IN GENETICS,2022,13.
APA	Li, Shijing,Li, Shiqin,Su, Shaoqiang,Zhang, Hui,Shen, Jiayu,&Wen, Yongxian.(2022).Gene Region Association Analysis of Longitudinal Quantitative Traits Based on a Function-On-Function Regression Model.FRONTIERS IN GENETICS,13.
MLA	Li, Shijing,et al."Gene Region Association Analysis of Longitudinal Quantitative Traits Based on a Function-On-Function Regression Model".FRONTIERS IN GENETICS 13(2022).