Cited by 120Genetics, Aging, and Longevity in Model OrganismsGenetic Associations and EpidemiologyTelomeres, Telomerase, and Senescence

Genetic Determinants of Human Health Span and Life Span: Progress and New Opportunities

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Martin, George M, Bergman, Aviv, Barzilai, Nir·2007·PLoS Genetics

Abstract

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.

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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 [14]

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  1. 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].

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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
Published
2007-07-27
Volume
3
Issue
7
Pages
e125
ISSN
  • 1553-7390 (ISSN-L)
  • 1553-7404
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
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
  • Health Sciences › Medicine › Physiology › 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

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