The DOI matches its Crossref record; 114 of the 115 references it cites were found in a registry or an index.
Genetic Determinants of Human Health Span and Life Span: Progress and New Opportunities
Open accessAbstract
We review three approaches to the genetic analysis of the biology and pathobiology of human aging. The first and so far the best-developed is the search for the biochemical genetic basis of varying susceptibilities to major geriatric disorders. These include a range of progeroid syndromes. Collectively, they tell us much about the genetics of health span. Given that the major risk factor for virtually all geriatric disorders is biological aging, they may also serve as markers for the study of intrinsic biological aging. The second approach seeks to identify allelic contributions to exceptionally long life spans. While linkage to a locus on Chromosome 4 has not been confirmed, association studies have revealed a number of significant polymorphisms that impact upon late-life diseases and life span. The third approach remains theoretical. It would require longitudinal studies of large numbers of middle-aged sib-pairs who are extremely discordant or concordant for their rates of decline in various physiological functions. We can conclude that there are great opportunities for research on the genetics of human aging, particularly given the huge fund of information on human biology and pathobiology, and the rapidly developing knowledge of the human genome.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Theory of Island Biogeography
MacArthur, R. H., & Wilson, E. O. (2001) · Princeton University Press eBooks · doi:10.1515/9781400881376 · Cited by 13,298
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
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Wallace, D. C. (2005) · Annual Review of Genetics · doi:10.1146/annurev.genet.39.110304.095751 · Cited by 3,185
King, M.-C., & Wilson, A. C. (1975) · Science · doi:10.1126/science.1090005 · Cited by 2,815
Complement factor H variant increases the risk of age-related macular degeneration
Haines, J. L., Hauser, M. A., Schmidt, S., Scott, W. K., Olson, L. M., Gallins, P., Spencer, K. L., Kwan, S. Y., Noureddine, M., Gilbert, J. R., et al. (2005) · Science · doi:10.1126/science.1110359 · Cited by 2,424
A Century of Alzheimer's Disease
Goedert, M., & Spillantini, M. G. (2006) · Science · doi:10.1126/science.1132814 · Cited by 2,153
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
Recurrent de novo point mutations in lamin A cause Hutchinson-Gilford progeria syndrome
Eriksson, M., Brown, W. T., Gordon, L. B., Glynn, M. W., Singer, J., Scott, L., Erdos, M. R., Robbins, C. M., Moses, T. Y., Berglund, P., et al. (2003) · Nature · doi:10.1038/nature01629 · Cited by 1,990
Kirkwood, T. B. L., & Austad, S. N. (2000) · Nature · doi:10.1038/35041682 · Cited by 1,774
Flagged first, then by citations
1 of the 115 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- 2005, Adiponectin: An inherited survival factor in families with exceptional longevity., Diabetes, 54, A284
- Suh Y Cho M Cohen P Barzilai N 2007 The IGF-1 axis, SNPs and human longevity. The 3rd international conference on Functional Genomics of Aging Palermo [Italy].
Cited by
Sorted by citations
Items 101–120 of 120
Assessing life expectancy disparities in Chicago with a deep dive into green space
Folkmann, E. J., Hughes, M. C., Hua, L., Alarifi, M., & Vaezi, M. (2024) · Environmental Advances · doi:10.1016/j.envadv.2024.100540 · Cited by 2
Stöger, R. J., Choi, M., Begum, K., Leeman, G., Emes, R. D., Melamed, P., & Bentley, G. R. (2022) · Epigenetics · doi:10.1080/15592294.2022.2153511 · Cited by 3
Letter to the editor: Standardization of genetic association studies, pros and cons, reaffirmed
Kulminski, A. M., Culminskaya, I. V., & Yashin, A. I. (2013) · AGE · doi:10.1007/s11357-013-9602-3 · Cited by 2
Smoking offsets the metabolic benefits of parental longevity in women: The CoLaus study
Jaunin, J., Bochud, M., Marques-Vidal, P. M., Vollenweider, P., Waeber, G., Mooser, V., & Paccaud, F. M. (2008) · Preventive Medicine · doi:10.1016/j.ypmed.2008.12.007 · Cited by 1
Aging and Longevity in Animal Models and Humans
Capri, M., Salvioli, S., Cevenini, E., Celani, L., Sevini, F., Bellavista, E., Lanzarini, C., Yani, S. L., Tieri, P., Lescai, F., et al. (2009) · Humana Press eBooks · doi:10.1007/978-1-60327-507-1_11 · Cited by 2
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
Geriatrics: Gateway to Next Medicine§
Bortz, W. M. (2014) · Open Medicine Journal · doi:10.2174/1874220301401010050
Bowirrat, A. (2010) · The Open Complementary Medicine Journal · doi:10.2174/1876391x01002010090
Lai, C., Parnell, L. D., & Ordovás, J. M. (2010) · Elsevier eBooks · doi:10.1016/b978-1-4160-6231-8.10007-8
Cho, M., & Suh, Y. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-411596-5.00012-5
Rickenbacher, P. R. (2010) · Swiss Medical Forum ‒ Schweizerisches Medizin-Forum · doi:10.4414/smf.2010.07360
Rickenbacher, P. R. (2010) · Forum Médical Suisse ‒ Swiss Medical Forum · doi:10.4414/fms.2010.07360
Butler, R. N., Miller, R. A., Perry, D. P., Carnes, B. A., Williams, T. F., Cassel, C. K., Brody, J. A., Bernard, M., Partridge, L., Kirkwood, T. B. L., et al. (2008) · BMJ · doi:10.1136/sbmj.0810352
Self-citationBiodemography of Aging and Longevity
Gavrilov, L. A., & Gavrilova, N. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.11436-9
Integrative Outlooks About Clinical and Biomedical Research in Ageing
García‐Peña, C., Medina-Campos, R. H., Anda, E. D.-D., & Barrera-Vázquez, O. S. (2020) · Springer eBooks · doi:10.1007/978-3-030-40955-5_13
Aging Principles and Perspectives for Intervention
Rattan, S. I. S. (2018) · Springer eBooks · doi:10.1007/978-981-13-1699-9_1
A Peek Behind the Curtain of Anti-aging Science
Lupton, M. (2023) · Springer eBooks · doi:10.1007/978-981-99-2439-4_7
Narasimhan, S. D. (2010) · The Journal of the American Medical Association (JAMA) Network (American Medical Association) · doi:10.13028/fhpk-6423
Metadata
- Authors
- Martin, G. M., Bergman, A., & Barzilai, N.
- Affiliations
- University of Washington (US)
- Johns Hopkins University (US)
- Albert Einstein College of Medicine (US)
- Corresponding author
- Martin, George M
- Venue
- PLoS Genetics
- Publisher
- Public Library of Science (PLoS)
- Published
- 2007-07-27
- Volume
- 3
- Issue
- 7
- Pages
- e125
- ISSN
- 1553-7390 (ISSN-L)
- 1553-7404
- PMC
- PMC1934400
- OpenAlex
- W2084026374
- Cited by
- 120
- References
- 115
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 2 · 2022: 6 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 6 · 2017: 1 · 2016: 5 · 2015: 8 · 2014: 5 · 2013: 10 · 2012: 6
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- PLoS Genetics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (P01AG021654, P01AG001751, P30 AG01751, R01AG018381, P50 AG05136-17, U01AG007198, P50AG005136, R01AG019711)
- National Cancer Institute (R24CA078088)
- 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 › Cell Biology › Telomeres, Telomerase, and Senescence
- Keywords
- human aging, healthspan, lifespan, progeroid syndromes, geriatric disorders, genetic susceptibility, longevity, chromosome 4, genetic polymorphism, physiological decline, genetic determinants of aging
- MeSH terms
- Aging, Alleles, Chromosome Mapping, Health, Health Status, Humans, Life Expectancy, Genetic Linkage, Longevity, Models, Genetic, Polymorphism, Genetic, Progeria, Risk Factors, Syndrome, Genome, Human
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
