ArticleBiogerontology2011
Evaluation of genotype-specific survival using joint analysis of genetic and non-genetic subsamples of longitudinal data.
Article in Biogerontology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- How are APOE4, changes in body weight, and longevity related? Insights from a causal mediation analysis.Frontiers in aging · 2024Article
- How Well Does the Family Longevity Selection Score Work: A Validation Test Using the Utah Population Database.Frontiers in public health · 2018Article
- How the effects of aging and stresses of life are integrated in mortality rates: insights for genetic studies of human health and longevity.Biogerontology · 2016Review
- How Genes Modulate Patterns of Aging-Related Changes on the Way to 100: Biodemographic Models and Methods in Genetic Analyses of Longitudinal Data.North American actuarial journal : NAAJ · 2016Article
- Genetics of aging, health, and survival: dynamic regulation of human longevity related traits.Frontiers in genetics · 2015Article
- How the quality of GWAS of human lifespan and health span can be improved.Frontiers in genetics · 2013Article
- Neutral theory for life histories and individual variability in fitness components.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- Effect of the APOE Polymorphism and Age Trajectories of Physiological Variables on Mortality: Application of Genetic Stochastic Process Model of Aging.Scientifica · 2012Article
- Genetic Structures of Population Cohorts Change with Increasing Age: Implications for Genetic Analyses of Human aging and Life Span.Annals of gerontology and geriatric researchArticle
- Biodemographic Analyses of Longitudinal Data on Aging, Health, and Longevity: Recent Advances and Future Perspectives.Advances in geriatricsArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Small sample size of genetic data is often a limiting factor for desirable accuracy of estimated genetic effects on age-specific risks and survival. Longitudinal non-genetic data containing information on survival or disease onsets of study participants for whom the genetic data were not collected may provide an additional "reserve" for increasing the accuracy of respective estimates. We present a novel method for joint analyses of "genetic" (covering individuals for whom both genetic information and mortality/morbidity data are available) and "non-genetic" (covering individuals for whom only mortality/morbidity data were collected) subsamples of longitudinal data. Our simulation studies show substantial increase in the accuracy of estimates in such joint analyses compared to analyses based on genetic subsample alone. Application of this method to analysis of the effect of common apolipoprotein E (APOE) polymorphism on survival using combined genetic and non-genetic subsamples of the Framingham Heart Study original cohort data showed that female, but not male, carriers of the APOE e4 allele have significantly worse survival than non-carriers, whereas empirical analyses did not produce any significant results for either sex.
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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.