The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Telomere Length in Epidemiology: A Biomarker of Aging, Age-Related Disease, Both, or Neither?
Open accessAbstract
Telomeres are nucleoprotein caps flanking DNA. They are shortened by cell division and oxidative stress and are lengthened by the enzyme telomerase and DNA exchange during mitosis. Short telomeres induce cellular senescence. As an indicator of oxidative stress and senescence (2 processes thought to be fundamental to aging), telomere length is hypothesized to be a biomarker of aging. This hypothesis has been tested for more than a decade with epidemiologic study methods. In cross-sectional studies, researchers have investigated whether leukocyte telomere length (LTL) is associated with demographic, behavioral, and health variables. In prospective studies, baseline LTL has been used to predict mortality and occasionally other adverse health outcomes. Conflicting data have generated heated debate about the value of LTL as a biomarker of overall aging. In this review, we address the epidemiologic data on LTL and demonstrate that shorter LTL is associated with older age, male gender, Caucasian race, and possibly atherosclerosis; associations with other markers of health are equivocal. We discuss the reasons for discrepancy across studies, including a detailed review of methods for measuring telomere length as they apply to epidemiology. Finally, we conclude with questions about LTL as a biomarker of aging and how epidemiology can be used to answer these questions.
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.
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 American Journal of Human Genetics
S., J. (1950) · Population (French Edition) · doi:10.2307/1523704 · Cited by 5,028
Telomere measurement by quantitative PCR
Cawthon, R. M. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.10.e47 · Cited by 3,487
Ben-Shlomo, Y. (2002) · International Journal of Epidemiology · doi:10.1093/ije/31.2.285 · Cited by 3,038
Oxidative stress shortens telomeres
von Zglinicki, T. (2002) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(02)02110-2 · Cited by 2,524
Four faces of cellular senescence
Rodier, F., & Campisi, J. (2011) · Journal of Cell Biology · doi:10.1083/jcb.201009094 · Cited by 2,070 · cited 1×
“It is notable that cells also can senesce because of telomere-independent signaling, such as propagated DNA damage response, altered mitogenic signaling, and cyclin-dependent kinase inhibitor signaling, among others (31).”
BackgroundLife course epidemiology: Figure 1
Kuh, D., Ben-Shlomo, Y., Lynch, J., Hallqvist, J., & Power, C. (2003) · Journal of Epidemiology and Community Health · doi:10.1136/jech.57.10.778 · Cited by 2,019
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
Association between telomere length in blood and mortality in people aged 60 years or older
Cawthon, R. M., Smith, K. R., O'Brien, E., Sivatchenko, A., & Kerber, R. A. (2003) · The Lancet · doi:10.1016/s0140-6736(03)12384-7 · Cited by 1,761
Telomere length measurement by a novel monochrome multiplex quantitative PCR method
Cawthon, R. M. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn1027 · Cited by 1,410
Telomere states and cell fates
Blackburn, E. H. (2000) · Nature · doi:10.1038/35040500 · Cited by 1,377
Cited by
DNA methylation-based biomarkers and the epigenetic clock theory of ageing
Horvath, S., & Raj, K. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0004-3 · Cited by 3,095
Jylhävä, J., Pedersen, N. L., & Hägg, S. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.03.046 · Cited by 1,240
DNA methylation-based measures of biological age: meta-analysis predicting time to death
Chen, B. H., Marioni, R. E., Colicino, E., Peters, M. J., Ward-Caviness, C. K., Tsai, P.-C., Roetker, N. S., Just, A. C., Demerath, E. W., Guan, W., et al. (2016) · Aging · doi:10.18632/aging.101020 · Cited by 1,126
Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis
Haycock, P. C., Heydon, E. E., Kaptoge, S., Butterworth, A. S., Thompson, A., & Willeit, P. (2014) · BMJ · doi:10.1136/bmj.g4227 · Cited by 856
Measuring biological aging in humans: a quest
Ferrucci, L., Gonzalez‐Freire, M., Fabbri, E., Simonsick, E., Tanaka, T., Moore, Z., Salimi, S., Sierra, F., & de Cabo, R. (2020) · Aging Cell · doi:10.1111/acel.13080 · Cited by 781
Metadata
- Authors
- Sanders, J. L., & Newman, A. B.
- Venue
- Epidemiologic Reviews
- Publisher
- Oxford University Press (OUP)
- Published
- 2013-01-01
- Volume
- 35
- Issue
- 1
- Pages
- 112-131
- ISSN
- 0193-936X (ISSN-L)
- 1478-6729
- OpenAlex
- W2144787350
- Cited by
- 537
- References
- 123
- FWCI
- 26.93
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Telomere Length in Epidemiology: A Biomarker of Aging, Age-Related Disease, Both, or Neither? https://app.cochat.ai/papers/10.1093/epirev/mxs008
- The paper
- Sanders, J. L., & Newman, A. B. (2013). Telomere Length in Epidemiology: A Biomarker of Aging, Age-Related Disease, Both, or Neither? Epidemiologic Reviews. https://doi.org/10.1093/epirev/mxs008
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.