ArticleGenetics1996
Genotype-environment interaction: apolipoprotein E (ApoE) gene effects and age as an index of time and spatial context in the human.
Article in Genetics, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00005209 (Genetic Epidemiology of Coronary Heart Disease), which is not on this map. Cited by 10 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.
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.
Genetic Epidemiology of Coronary Heart Disease
Who cites it
10 citing papers in PubMed, 54 citations in OpenAlex.
- Genetic heterogeneity in cardiovascular disease across ancestries: Insights for mechanisms and therapeutic intervention.Cambridge prisms. Precision medicine · 2023Review
- Article
- Construction of gene clusters resembling genetic causal mechanisms for common complex disease with an application to young-onset hypertension.BMC genomics · 2013Article
- Flexible estimation of covariance function by penalized spline with application to longitudinal family data.Statistics in medicine · 2011Article
- APOE and FABP2 Polymorphisms and History of Myocardial Infarction, Stroke, Diabetes, and Gallbladder Disease.Cholesterol · 2011Article
- A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data.Bioinformatics (Oxford, England) · 2009Article
- Complex adaptive system models and the genetic analysis of plasma HDL-cholesterol concentration.Perspectives in biology and medicine · 2006Article
- Gender- and age-specific contributions of additional DNA sequence variation in the 5' regulatory region of the APOE gene to prediction of measures of lipid metabolism.Human genetics · 2004Article
- A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation.Genome research · 2001Article
- Evidence that the apolipoprotein E-genotype effects on lipid levels can change with age in males: a longitudinal analysis.American journal of human genetics · 1997Article
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 at 2 institutions in 1 country.
Funding
Abstract
We analyzed the age-dependence of the estimates of the parameters of the genetic architecture of plasma ApoE levels associated with ApoE gene variation. Our study sample included 1988 individuals in multigeneration pedigrees from the Rochester, MN, population. We used a 30-yr sliding window across the age range (5-90 yr) to estimate the age dependency of parameters. Additive ApoE allelic variance of transformed plasma ApoE values for both genders, heritabilities for males and phenotypic and residual variance for females peaked in the 20-40-yr age windows and decreased significantly with age (P < 0.05). Phenotypic and residual variance for males and dominance variance for both genders did not vary significantly with age. All parameter estimates were significantly different from zero across all age windows for both genders. Most studies of ApoE have focused on its functions in the pathophysiology of coronary artery disease (CAD) in middle-aged and older individuals. Our findings suggest the greatest role of this gene is in determining phenotype differences among younger and middle-aged individuals. These observed genotypic effects on the plasma ApoE levels may contribute to age-dependent differences in physiological health, growth, and risk of disease.
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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.