The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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]
Citations
Cites
Aging: a theory based on free radical and radiation chemistry
Harman, D. (1956) · Journal of Gerontology · doi:10.1093/geronj/11.3.298 · Cited by 8,567
Pleiotropy, natural selection, and the evolution of senescence.
Williams, G. C. (1957) · Evolution · doi:10.1111/j.1558-5646.1957.tb02911.x · Cited by 4,279
Transcriptional silencing and longevity protein Sir2 is an NAD-dependent histone deacetylase
Imai, S.-I., Armstrong, C. M., Kaeberlein, M., & Guarente, L. (2000) · Nature · doi:10.1038/35001622 · Cited by 3,510
A C. elegans mutant that lives twice as long as wild type
Kenyon, C., Chang, J., Gensch, E., Rudner, A., & Tabtiang, R. (1993) · Nature · doi:10.1038/366461a0 · Cited by 3,387
Stress-dependent regulation of FOXO transcription factors by the SIRT1 deacetylase
Brunet, A., Sweeney, L. B., Sturgill, J. F., Chua, K. F., Greer, P. L., Lin, Y., Tran, H., Ross, S. E., Mostoslavsky, R., Cohen, H. Y., et al. (2004) · Science · doi:10.1126/science.1094637 · Cited by 3,239
Broken Limits to Life Expectancy
Oeppen, J., & Vaupel, J. W. (2002) · Science · doi:10.1126/science.1069675 · Cited by 2,819
IGF-1 receptor regulates lifespan and resistance to oxidative stress in mice
Holzenberger, M., Dupont, J., Ducos, B., Leneuve, P., Géloën, A., Even, P. C., Cervera, P., & Le Bouc, Y. (2003) · Nature · doi:10.1038/nature01298 · Cited by 2,109
Negative Control of p53 by Sir2α Promotes Cell Survival under Stress
Luo, J., Nikolaev, A. Y., Imai, S.-I., Chen, D., Su, F., Shiloh, A., Guarente, L., & Gu, W. (2001) · Cell · doi:10.1016/s0092-8674(01)00524-4 · Cited by 2,081
Kirkwood, T. B. L. (1977) · Nature · doi:10.1038/270301a0 · Cited by 2,007
AN UNSOLVED PROBLEM OF BIOLOGY
(1953) · The Medical Journal of Australia · doi:10.5694/j.1326-5377.1953.tb84985.x · Cited by 1,806
Cited by
Sorted by citations
Items 101–141 of 141
A microsatellite polymorphism in IGF1 gene promoter and longevity in a Han Chinese population
Xie, L., Gong, Y., Lian, S.-G., Yang, J., Gao, S., Xu, L., & Zhang, Y. (2010) · BMC Research Notes · doi:10.1186/1756-0500-3-55 · Cited by 4
Longevics: Genetic lessons for the ages
Ross, O. A. (2006) · Irish Journal of Medical Science (1971 -) · doi:10.1007/bf03169012 · Cited by 4
Wang, H., Wang, Y., Sun, D.-Q., & Liu, D.-G. (2010) · PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS · doi:10.3724/sp.j.1206.2009.00144 · Cited by 3
Aging as a consequence of intracellular water volume and density
Bonatto, D., Feltes, B. C., & Poloni, J. D. F. (2011) · Medical Hypotheses · doi:10.1016/j.mehy.2011.08.025 · Cited by 3
Screening of longevity-associated genes based on a comparison between dead and surviving populations
An, W., Zhang, L., Benlan, G., Sashuang, R., & Liu, H. (2013) · Gene · doi:10.1016/j.gene.2013.08.070 · Cited by 3
Vijg, J. (2009) · Aging · doi:10.18632/aging.100048 · Cited by 3
Self-citationThe caloric restriction fallacy, rodent diet aids and the tumor suppression theory of agingPreprint
Wolf, A. M. (2021) · OSF Preprints (OSF Preprints) · doi:10.31219/osf.io/a2689 · Cited by 2
Kulminski, A. M., Arbeev, K. G., Christensen, K., Stallard, E., Miljkovic, I., Barmada, M. M., & Yashin, A. I. (2012) · The Journals of Gerontology Series A · doi:10.1093/gerona/gls243 · Cited by 2
Teas, E., Robertson, O. C., Marceau, K., & Friedman, E. M. (2021) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000972 · Cited by 2
Methuselah proteins in Drosophila: Structural and evolutionary insights from mathematical genomics
Hassan, S. S., Nawn, D., Ghosh, A., Sil, M., Goswami, A., Basu, P., Lundstrom, K. H., & Uversky, V. N. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.152240 · Cited by 2
Pushing the Complexity Barrier: Diminishing Returns in the SciencesPreprint
Gros, C. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2164070 · Cited by 2
Mouse Models of Accelerated Aging
Vijg, J., & Hasty, P. (2006) · Elsevier eBooks · doi:10.1016/b978-012369391-4/50050-3 · Cited by 2
Self-citationRecruitment, Mortality and Longevity
Jönsson, B., & Jönsson, N. (2011) · Springer eBooks · doi:10.1007/978-94-007-1189-1_8 · Cited by 1
Unexpected effects of tumor-suppressing genes on fruit fly development
Weisman, N. Y. (2014) · Biology Bulletin Reviews · doi:10.1134/s207908641401006x · Cited by 1
Koopman, J. J. E., Pijpe, J., Böhringer, S., van Bodegom, D., Eriksson, U. K., Sanchez-Faddeev, H., Ziem, J. B., Zwaan, B. J., Slagboom, P. E., de Knijff, P., et al. (2016) · Aging · doi:10.18632/aging.100986 · Cited by 1
Kulminski, A. M., Yashin, A. I., Culminskaya, I. V., Land, K. C., & Ukraintseva, S. V. (2016) · The Springer series on demographic methods and population analysis · doi:10.1007/978-94-017-7587-8_9 · Cited by 1
Continuing the Search for Determinants of Healthy Life Span and Longevity
Kulminski, A. M., Yashin, A. I., Arbeev, K. G., Ukraintseva, S. V., Akushevich, I. V., Land, K. C., & Stallard, E. (2016) · The Springer series on demographic methods and population analysis · doi:10.1007/978-94-017-7587-8_20 · Cited by 1
Blood RNA expression profiles undergo major changes during the seventh decade
Gheorghe, M., Schurmann, C., Peters, M. J., Uitterlinden, A. G., Albert Hofman, D., Biffar, R., Homuth, G., Völker, U., van Meurs, J. B. J., & Raz, V. (2016) · Oncotarget · doi:10.18632/oncotarget.12098 · Cited by 1
Ashwin Prabahar, A. (2023) · Journal of Clinical and Medical Research · doi:10.37191/mapsci-2582-4333-5(2)-130
Post-Genomic View of Aging: Definitions, Theories and Observations
Marı́n-Garcı́a, J., Goldenthal, M. J., & Moe, G. W. P. L. (2007) · Springer eBooks · doi:10.1007/978-0-387-74072-0_1 · Cited by 1
Genetic Determinants of Human Life‐Span
Jylhävä, J., & Hurme, M. (2012) · Wiley eBooks · doi:10.1002/9780470015902.a0021463 · Cited by 1
A new challenge for diabetologists and geriatricians!
Tréton, J. (2005) · Diabetes & Metabolism · doi:10.1016/s1262-3636(05)73646-6 · Cited by 1
GENE EXPRESSION STUDIES IN CANDIDA ALBICANS
Uppuluri, P. (2006) · ThinkTech (Texas Tech University) · Cited by 1
Vijg, J. (2007) · Elsevier eBooks · doi:10.1016/b0-12-370870-2/00055-x · Cited by 1
Self-citationYang, J., Tare, A., Zhang, L. J., Kim, S., Ryu, S., Guo, Q., Zhu, Y., Wang, X., Wang, X., Hudgins, A. D., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.17.540984 · Cited by 2
Self-citationGH & IGF1: Aspects of Global and Local Release and Actions
Robinson, I. C. A. F. (2009) · Research and perspectives in endocrine interactions · doi:10.1007/978-3-642-04302-4_1
Bartholomew, J. N. (2009) · D-Scholarship@Pitt (University of Pittsburgh)
An analysis of Apc5p/Fob1p interactions in yeast : implications for extended lifespan
Chen, J. C. (2006) · University Library - University of Saskatchewan (University of Saskatchewan)
The Janus Face of Insulin in Brain
Duarte, A. I., Candeias, E., Correia, S. C., Santos, R. X., Carvalho, C., Cardoso, S., Plácido, A. I., Santos, M. S., Oliveira, C. R., & Moreira, P. I. (2013) · Wiley eBooks · doi:10.1002/9781118395318.ch5
A study into genes encoding longevity in humans
Kuningas, M. (2007) · Leiden Repository (Leiden University)
GENETIC REGULATION OF HEMATOPOIETIC STEM CELL AGING
Oakley, E. J. (2008) · UKnowledge (University of Kentucky)
Division of Biological and Medical Research annual report, 1979. [Lead abstract]
Rosenthal, M. W. (1979) · doi:10.2172/6783480
Senescence Regulation in Cancer Therapy
Rebbaa, A. (2008) · CRC Press eBooks · doi:10.3109/9781420020502-16
Yashin, A. I., Arbeev, K. G., Wu, D., Kulminski, A. M., Arbeeva, L. S., Kulminskaya, I., Akushevich, I. V., & Ukraintseva, S. V. (2014)
Cellular uptake and actions of bilberry anthocyanins in retinal pigment epithelial cells
Milbury, & Everett, P. (2006) · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester)
Pushing the complexity barrier: diminishing returns in the sciencesPreprint
Gros, C. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1209.2725
ALI, M. A. M., & Ciobica, A. S. (2020) · Annals of the Academy of Romanian Scientists Series on Biological Sciences · doi:10.56082/annalsarscibio.2020.1.45
Methuselah Proteins in Longevity: Unraveling Their Impact Through Mathematical GenomicsPreprint
Hassan, S. S., Nawn, D., Ghosh, A., Sil, M., Goswami, A., Basu, P., Lundstrom, K. H., & Uversky, V. N. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.03.621698
Gene therapy for aging and longevity
Everts, S. P. A., Florea, M., & de Magalhães, J. P. (2026) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2026.05.007
Zelluläre Mechanismen des Alterns
Rensing, L., & Rippe, V. (2013) · Springer eBooks · doi:10.1007/978-3-642-37733-4_2
Metadata
- 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 ›
Are you an author, or do you see a problem with this page? Request a review