ArticleGenetics2011
A flexible estimating equations approach for mapping function-valued traits.
Article in Genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Matrix Linear Models for Connecting Metabolite Composition to Individual Characteristics.Metabolites · 2025Article
- Outcome of SARS-CoV-2 reinfection depends on genetic background in female mice.Nature communications · 2024Article
- Matrix Linear Models for connecting metabolite composition to individual characteristics.bioRxiv : the preprint server for biology · 2023Article
- Host immune responses associated with SARS-CoV-2 Omicron infection result in protection or pathology during reinfection depending on mouse genetic background.Research square · 2023Article
- SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATA.The annals of applied statistics · 2022Article
- Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence.PLoS genetics · 2021Article
- Estimation of dynamic SNP-heritability with Bayesian Gaussian process models.Bioinformatics (Oxford, England) · 2020Article
- A Gaussian process model and Bayesian variable selection for mapping function-valued quantitative traits with incomplete phenotypic data.Bioinformatics (Oxford, England) · 2019Article
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- Eigen decomposition expedites longitudinal genome-wide association studies for milk production traits in Chinese Holstein.Genetics, selection, evolution : GSE · 2018Article
- Bayesian estimation and use of high-throughput remote sensing indices for quantitative genetic analyses of leaf growth.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2018Article
- Functional Mapping of Quantitative Trait Loci (QTLs) Associated With Plant Performance in a Wheat MAGIC Mapping Population.Frontiers in plant science · 2018Article
- Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Scientific reports · 2017Article
- Mapping Quantitative Trait Loci Underlying Function-Valued Traits Using Functional Principal Component Analysis and Multi-Trait Mapping.G3 (Bethesda, Md.) · 2015Article
- A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.Genetics · 2014Article
- Large Covariance Estimation by Thresholding Principal Orthogonal Complements.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2013Article
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Authors and funding
6 authors.
Funding
Abstract
In genetic studies, many interesting traits, including growth curves and skeletal shape, have temporal or spatial structure. They are better treated as curves or function-valued traits. Identification of genetic loci contributing to such traits is facilitated by specialized methods that explicitly address the function-valued nature of the data. Current methods for mapping function-valued traits are mostly likelihood-based, requiring specification of the distribution and error structure. However, such specification is difficult or impractical in many scenarios. We propose a general functional regression approach based on estimating equations that is robust to misspecification of the covariance structure. Estimation is based on a two-step least-squares algorithm, which is fast and applicable even when the number of time points exceeds the number of samples. It is also flexible due to a general linear functional model; changing the number of covariates does not necessitate a new set of formulas and programs. In addition, many meaningful extensions are straightforward. For example, we can accommodate incomplete genotype data, and the algorithm can be trivially parallelized. The framework is an attractive alternative to likelihood-based methods when the covariance structure of the data is not known. It provides a good compromise between model simplicity, statistical efficiency, and computational speed. We illustrate our method and its advantages using circadian mouse behavioral data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.