ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2012
Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing.
Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed.
- fGWAS: An R package for genome-wide association analysis with longitudinal phenotypes.Journal of genetics and genomics = Yi chuan xue bao · 2018Article
- A score test for genetic class-level association with nonlinear biomarker trajectories.Statistics in medicine · 2017Article
- Longitudinal SNP-set association analysis of quantitative phenotypes.Genetic epidemiology · 2017Article
- Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting.Statistics in medicine · 2014Article
- Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis.BMC proceedings · 2014Article
- Longitudinal association analysis of quantitative traits.Genetic epidemiology · 2012Article
- On testing an unspecified function through a linear mixed effects model with multiple variance components.Biometrics · 2012Article
- A discussion of gene-gene and gene-environment interactions and longitudinal genetic analysis of complex traits.Statistics in medicine · 2012Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In family-based longitudinal genetic studies, investigators collect repeated measurements on a trait that changes with time along with genetic markers. Since repeated measurements are nested within subjects and subjects are nested within families, both the subject-level and measurement-level correlations must be taken into account in the statistical analysis to achieve more accurate estimation. In such studies, the primary interests include to test for quantitative trait locus (QTL) effect, and to estimate age-specific QTL effect and residual polygenic heritability function. We propose flexible semiparametric models along with their statistical estimation and hypothesis testing procedures for longitudinal genetic designs. We employ penalized splines to estimate nonparametric functions in the models. We find that misspecifying the baseline function or the genetic effect function in a parametric analysis may lead to substantially inflated or highly conservative type I error rate on testing and large mean squared error on estimation. We apply the proposed approaches to examine age-specific effects of genetic variants reported in a recent genome-wide association study of blood pressure collected in the Framingham Heart Study.
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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.