ArticleBiometrics2009
Nonparametric modeling of longitudinal covariance structure in functional mapping of quantitative trait loci.
Article in Biometrics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Bayesian mixed models for longitudinal genetic data: theory, concepts, and simulation studies.Genomics & informatics · 2022Article
- Functional Mapping of Phenotypic Plasticity ofFrontiers in microbiology · 2021Article
- A unified mapping framework of multifaceted pharmacodynamic responses to hypertension interventions.Drug discovery today · 2019Review
- Mapping Covariation Quantitative Trait Loci That Control Organ Growth and Whole-Plant Biomass.Frontiers in plant science · 2019Article
- Article
- Mapping Quantitative Trait Loci Underlying Function-Valued Traits Using Functional Principal Component Analysis and Multi-Trait Mapping.G3 (Bethesda, Md.) · 2015Article
- Mapping complex traits as a dynamic system.Physics of life reviews · 2015Review
- BAYESIAN GROUP LASSO FOR NONPARAMETRIC VARYING-COEFFICIENT MODELS WITH APPLICATION TO FUNCTIONAL GENOME-WIDE ASSOCIATION STUDIES.The annals of applied statistics · 2015Article
- Article
- A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes.Genetics · 2014Article
- A computational algorithm for functional clustering of proteome dynamics during development.Current genomics · 2014Article
- Towards a comprehensive picture of the genetic landscape of complex traits.Briefings in bioinformatics · 2014Article
- Large Covariance Estimation by Thresholding Principal Orthogonal Complements.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2013Article
- Article
- Statistical analysis of big data on pharmacogenomics.Advanced drug delivery reviews · 2013Article
- Delivering systems pharmacogenomics towards precision medicine through mathematics.Advanced drug delivery reviews · 2013Review
- Stochastic modeling of systems mapping in pharmacogenomics.Advanced drug delivery reviews · 2013Article
- Systems mapping of HIV-1 infection.BMC genetics · 2012Article
- Varying coefficient models for mapping quantitative trait loci using recombinant inbred intercrosses.Genetics · 2012Article
- A Bayesian Framework for Functional Mapping through Joint Modeling of Longitudinal and Time-to-Event Data.International journal of plant genomics · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Estimation of the covariance structure of longitudinal processes is a fundamental prerequisite for the practical deployment of functional mapping designed to study the genetic regulation and network of quantitative variation in dynamic complex traits. We present a nonparametric approach for estimating the covariance structure of a quantitative trait measured repeatedly at a series of time points. Specifically, we adopt Huang et al.'s (2006, Biometrika 93, 85-98) approach of invoking the modified Cholesky decomposition and converting the problem into modeling a sequence of regressions of responses. A regularized covariance estimator is obtained using a normal penalized likelihood with an L(2) penalty. This approach, embedded within a mixture likelihood framework, leads to enhanced accuracy, precision, and flexibility of functional mapping while preserving its biological relevance. Simulation studies are performed to reveal the statistical properties and advantages of the proposed method. A real example from a mouse genome project is analyzed to illustrate the utilization of the methodology. The new method will provide a useful tool for genome-wide scanning for the existence and distribution of quantitative trait loci underlying a dynamic trait important to agriculture, biology, and health sciences.
Indexed as
Identifiers
What OpenQuestion holds
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.