ArticleBMC proceedings2009
Application of three-level linear mixed-effects model incorporating gene-age interactions for association analysis of longitudinal family data.
Article in BMC proceedings, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.
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
17 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Strong impact of natural-selection-free heterogeneity in genetics of age-related phenotypes.Aging · 2018Pooled it
- Pleiotropic Associations of Allelic Variants in a 2q22 Region with Risks of Major Human Diseases and Mortality.PLoS genetics · 2016Pooled it
- Birth Cohort, Age, and Sex Strongly Modulate Effects of Lipid Risk Alleles Identified in Genome-Wide Association Studies.PloS one · 2015Pooled it
- Associations of Renalase With Blood Pressure and Hypertension in Chinese Adults.Frontiers in cardiovascular medicine · 2022Article
- Associations of corin genetic polymorphisms with salt sensitivity, blood pressure changes, and hypertension incidence in Chinese adults.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
- Article
- Uncoupling associations of risk alleles with endophenotypes and phenotypes: insights from the ApoB locus and heart-related traits.Aging cell · 2017Article
- Associations of the Serum/Glucocorticoid Regulated Kinase Genes With BP Changes and Hypertension Incidence: The Gensalt Study.American journal of hypertension · 2017Article
- Three Approaches to Modeling Gene-Environment Interactions in Longitudinal Family Data: Gene-Smoking Interactions in Blood Pressure.Genetic epidemiology · 2016Article
- Associations of Renin-Angiotensin-Aldosterone System Genes With Blood Pressure Changes and Hypertension Incidence.American journal of hypertension · 2015Article
- Associations of Endothelial System Genes With Blood Pressure Changes and Hypertension Incidence: The GenSalt Study.American journal of hypertension · 2015Article
- A Comparison of Statistical Methods for the Discovery of Genetic Risk Factors Using Longitudinal Family Study Designs.Frontiers in immunology · 2015Article
- The National Longitudinal Study of Adolescent to Adult Health (Add Health) sibling pairs genome-wide data.Behavior genetics · 2015Article
- Associations of epithelial sodium channel genes with blood pressure changes and hypertension incidence: the GenSalt study.American journal of hypertension · 2014Article
- Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: the Framingham heart study.Frontiers in genetics · 2014Article
- Mining gold dust under the genome wide significance level: a two-stage approach to analysis of GWAS.Genetic epidemiology · 2011Article
- Detecting gene-environment interactions in genome-wide association data.Genetic epidemiology · 2009Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Longitudinal studies that collect repeated measurements on the same subjects over time have long been considered as being more powerful and providing much better information on individual changes than cross-sectional data. We propose a three-level linear mixed-effects model for testing genetic main effects and gene-age interactions with longitudinal family data. The simulated Genetic Analysis Workshop 16 Problem 3 data sets were used to evaluate the method. Genome-wide association analyses were conducted based on cross-sectional data, i.e., each of the three single-visit data sets separately, and also on the longitudinal data, i.e., using data from all three visits simultaneously. Results from the analysis of coronary artery calcification phenotype showed that the longitudinal association tests were much more powerful than those based on single-visit data only. Gene-age interactions were evaluated under the same framework for detecting genetic effects that are modulated by age.
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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.