Genetics of Longevity and Aging
Abstract
Longevity, i.e., the property of being long-lived, has its natural limitation in the aging process. Longevity has a strong genetic component, as has become apparent from studies with a variety of organisms, from yeast to humans. Genetic screening efforts with invertebrates have unraveled multiple genetic pathways that suggest longevity is promoted through the manipulation of metabolism and the resistance to oxidative stress. To some extent, these same mechanisms appear to act in mammals also, despite considerable divergence during evolution. Thus far, evidence from population-based studies with humans suggests the importance of genes involved in cardiovascular disease as important determinants of longevity. The challenge is to test if the candidate longevity genes that have emerged from studies with model organisms exhibit genetic variation for life span in human populations. Future investigations are likely to involve large-scale case-control studies, in which large numbers of genes, corresponding to entire gene functional modules, will be assessed for all possible sequence variation and associated with detailed phenotypic information on each individual over extended periods of time. This should eventually unravel the genetic factors that contribute to each particular aging phenotype.
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Genes that regulate lifespan in animal models and human studies, and multiple experimental paradigms, have demonstrated that it is possible to manipulate ageing biology to rejuvenate physiological functioning in complex model organisms.
“Genes that regulate lifespan in animal models6–9 and human studies10–14 as well as multiple experimental paradigms, such as caloric restriction, heterochronic parabiosis and partial epigenetic reprogramming, have demonstrated that it is possible to manipulate ageing biology to ‘rejuvenate’ physiological functioning in complex model organisms15–28.”
From Measuring biological age using omics data (2022) · cites this paper as [6]
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- Authors
- Vijg, J., & Suh, Y.
- Affiliations
- The University of Texas at San Antonio Health Science Center (US)
- ORCID
- Venue
- Annual Review of Medicine
- Publisher
- Annual Reviews
- Published
- 2005-02-01
- Volume
- 56
- Issue
- 1
- Pages
- 193-212
- ISSN
- 0066-4219 (ISSN-L)
- 1545-326X
- OpenAlex
- W2148208805
- Cited by
- 142
- References
- 94
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 7 · 2020: 3 · 2019: 4 · 2018: 5 · 2017: 3 · 2016: 14 · 2015: 6 · 2014: 4 · 2013: 13 · 2012: 10
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (AG 17242, AG23292, R01AG020438, R01AG024391, R03AG023292, AG 20438, P01AG017242)
- National Institute of Environmental Health Sciences (ES 11044, U01ES011044)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Physical Performance
- Keywords
- longevity, aging, longevity genes, oxidative stress resistance, metabolism, cardiovascular disease genes, model organisms, case-control study, aging phenotypes
- MeSH terms
- Aging, Animals, Cardiovascular Diseases, Biological Evolution, Humans, Insulin, Longevity, Phenotype, Genetic Variation, Signal Transduction, Case-Control Studies, Oxidative Stress
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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