Evidence map›Paper›PMID 38890274›Full record

ArticleNature communications2024

Digital telomere measurement by long-read sequencing distinguishes healthy aging from disease.

Santiago E Sanchez, Yuchao Gu, Yan Wang, Anudeep Golla, Annika Martin, William Shomali, Dirk Hockemeyer, Sharon A Savage, Steven E Artandi

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed.

  1. Article
  2. How telomere attrition protects against cancer.Nature reviews. Genetics · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Short and complex-Telomeres and genomes in CLL.British journal of haematology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. TelomereHunter2: improvedBioinformatics advances · 2026
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Santiago E SanchezStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Yuchao GuStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Yan WangStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Anudeep GollaStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Annika MartinDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0009-0006-3369-1495
William ShomaliDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Dirk HockemeyerDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-5598-5092
Sharon A SavageDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6006-0740
Steven E ArtandiStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA. sartandi@stanford.edu.ORCID http://orcid.org/0000-0001-5580-7512

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI MICHAEL KENNEY · 2007 to 2026
$71.4M
REVERSING CELLULAR IMMORTALITY IN CANCERR35CA197563 · NCI · STANFORD UNIVERSITY · PI ARTANDI, STEVEN E · 2015 to 2021
$6.4M
Molecular Genetics of the Telomere Biology DisordersR01HL131744 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI BERTUCH, ALISON A, HOCKEMEYER, DIRK · 2016 to 2025
$4.5M
NCI NIH HHS P30 CA124435NCI NIH HHS R35 CA197563NHLBI NIH HHS R01 HL131744
6 · The paper itself

Abstract

Telomere length is an important biomarker of organismal aging and cellular replicative potential, but existing measurement methods are limited in resolution and accuracy. Here, we deploy digital telomere measurement (DTM) by nanopore sequencing to understand how distributions of human telomere length change with age and disease. We measure telomere attrition and de novo elongation with up to 30 bp resolution in genetically defined populations of human cells, in blood cells from healthy donors and in blood cells from patients with genetic defects in telomere maintenance. We find that human aging is accompanied by a progressive loss of long telomeres and an accumulation of shorter telomeres. In patients with defects in telomere maintenance, the accumulation of short telomeres is more pronounced and correlates with phenotypic severity. We apply machine learning to train a binary classification model that distinguishes healthy individuals from those with telomere biology disorders. This sequencing and bioinformatic pipeline will advance our understanding of telomere maintenance mechanisms and the use of telomere length as a clinical biomarker of aging and disease.

Indexed as

Machine LearningTelomereTelomere HomeostasisAdultAgedAgingFemaleHealthy AgingHumansMaleMiddle AgedNanopore SequencingTelomere ShorteningYoung Adult

Identifiers

PMID38890274
PMCPMC11189511

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.