ArticleGenetics2005
Quantitative trait locus analysis of longitudinal quantitative trait data in complex pedigrees.
Article in Genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed.
- Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits.Statistics in medicine · 2022Article
- MVQTLCIM: composite interval mapping of multivariate traits in a hybrid FBMC bioinformatics · 2017Article
- Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects.Scientific reports · 2017Article
- Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4.Journal of applied genetics · 2014Article
- Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis.BMC proceedings · 2014Article
- Article
- Modelling QTL effect on BTA06 using random regression test day models.Journal of applied genetics · 2013Article
- Simultaneous estimation of multiple quantitative trait loci and growth curve parameters through hierarchical Bayesian modeling.Heredity · 2012Article
- Bayesian functional mapping of dynamic quantitative traits.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Article
- QTLMAS 2009: simulated dataset.BMC proceedings · 2010Article
- Mapping quantitative trait loci in line cross with repeat records.BMC genetics · 2007Article
- Wavelet-based parametric functional mapping of developmental trajectories with high-dimensional data.Genetics · 2007Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is currently considerable interest in genetic analysis of quantitative traits such as blood pressure and body mass index. Despite the fact that these traits change throughout life they are commonly analyzed only at a single time point. The genetic basis of such traits can be better understood by collecting and effectively analyzing longitudinal data. Analyses of these data are complicated by the need to incorporate information from complex pedigree structures and genetic markers. We propose conducting longitudinal quantitative trait locus (QTL) analyses on such data sets by using a flexible random regression estimation technique. The relationship between genetic effects at different ages is efficiently modeled using covariance functions (CFs). Using simulated data we show that the change in genetic effects over time can be well characterized using CFs and that including parameters to model the change in effect with age can provide substantial increases in power to detect QTL compared with repeated measure or univariate techniques. The asymptotic distributions of the methods used are investigated and methods for overcoming the practical difficulties in fitting CFs are discussed. The CF-based techniques should allow efficient multivariate analyses of many data sets in human and natural population genetics.
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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.