ArticleScientific reports2017
Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Insight into Genome-Wide Associations of Growth Trajectories Using a Hierarchical Non-Linear Mixed Model.Biology · 2026Article
- Genome-wide association study identifies significant SNPs for milk production and stature traits in Karan Fries cattle.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Identifying New Loci and Genes Associated with Feed Efficiency in Broilers.International journal of molecular sciences · 2025Article
- Identification of regulatory loci and candidate genes related to body weight traits in broilers based on different models.BMC genomics · 2025Article
- The Effect of Continuous Selection in KiwiCrossAnimals : an open access journal from MDPI · 2025Article
- Additive and Dominance Genome-Wide Association Studies Reveal the Genetic Basis of Heterosis Related to Growth Traits of Duhua Hybrid Pigs.Animals : an open access journal from MDPI · 2024Article
- Elucidation of the genetic determination of body weight and size in Chinese local chicken breeds by large-scale genomic analyses.BMC genomics · 2024Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- RETROSPECTIVE VARYING COEFFICIENT ASSOCIATION ANALYSIS OF LONGITUDINAL BINARY TRAITS: APPLICATION TO THE IDENTIFICATION OF GENETIC LOCI ASSOCIATED WITH HYPERTENSION.The annals of applied statistics · 2024Article
- Longitudinal genome-wide association analysis using a single-step random regression model for height in Japanese Holstein cattle.JDS communications · 2023Article
- Whole-Genome Sequencing Data Reveal New Loci Affecting Milk Production in German Black Pied Cattle (DSN).Genes · 2023Article
- A Bayesian random regression method using mixture priors for genome-enabled analysis of time-series high-throughput phenotyping data.The plant genome · 2022Article
- Article
- Genome-Wide Association Study Based on Random Regression Model Reveals Candidate Genes Associated with Longitudinal Data in Chinese Simmental Beef Cattle.Animals : an open access journal from MDPI · 2021Article
- Interaction analyses based on growth parameters of GWAS between Escherichia coli and Staphylococcus aureus.AMB Express · 2021Article
- Genome-Wide Association Analysis of Growth Curve Parameters in Chinese Simmental Beef Cattle.Animals : an open access journal from MDPI · 2021Article
- High-Throughput Phenotyping and Random Regression Models Reveal Temporal Genetic Control of Soybean Biomass Production.Frontiers in plant science · 2021Article
- GWAS-Based Identification of New Loci for Milk Yield, Fat, and Protein in Holstein Cattle.Animals : an open access journal from MDPI · 2020Article
- Genome-wide association for milk production and lactation curve parameters in Holstein dairy cows.Journal of animal breeding and genetics = Zeitschrift fur Tierzuchtung und Zuchtungsbiologie · 2020Article
- Integrating High-Throughput Phenotyping and Statistical Genomic Methods to Genetically Improve Longitudinal Traits in Crops.Frontiers in plant science · 2020Review
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Authors and funding
9 authors.
Funding
Abstract
Complex traits with multiple phenotypic values changing over time are called longitudinal traits. In traditional genome-wide association studies (GWAS) for longitudinal traits, a combined/averaged estimated breeding value (EBV) or deregressed proof (DRP) instead of multiple phenotypic measurements per se for each individual was frequently treated as response variable in statistical model. This can result in power losses or even inflate false positive rates (FPRs) in the detection due to failure of exploring time-dependent relationship among measurements. Aiming at overcoming such limitation, we developed two random regression-based models for functional GWAS on longitudinal traits, which could directly use original time-dependent records as response variable and fit the time-varied Quantitative Trait Nucleotide (QTN) effect. Simulation studies showed that our methods could control the FPRs and increase statistical powers in detecting QTN in comparison with traditional methods where EBVs, DRPs or estimated residuals were considered as response variables. Besides, our proposed models also achieved reliable powers in gene detection when implementing into two real datasets, a Chinese Holstein Cattle data and the Genetic Analysis Workshop 18 data. Our study herein offers an optimal way to enhance the power of gene detection and further understand genetic control of developmental processes for complex longitudinal traits.
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