Evidence map›Paper›PMID 35022670›Full record

ArticleBioinformatics (Oxford, England)2022

Telogator: a method for reporting chromosome-specific telomere lengths from long reads.

Zachary Stephens, Alejandro Ferrer, Lisa Boardman, Ravishankar K Iyer, Jean-Pierre A Kocher

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Predicting Polymerase Chain Reaction Success: Integrating theCombinatorial chemistry & high throughput screening · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Techniques for assessing telomere length: A methodological review.Computational and structural biotechnology journal · 2024
    Review
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zachary StephensDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Alejandro FerrerDivision of Hematology, Mayo Clinic, Rochester, MN 55902, USA.
Lisa BoardmanDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55902, USA.
Ravishankar K IyerDepartment of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA.
Jean-Pierre A KocherDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN 55902, USA.ORCID 0000-0002-0260-6773

Funding

Individualizing colorectal cancer patient care using the host and tumor telomere phenotypeR01CA204013 · NCI · MAYO CLINIC ROCHESTER · PI BOARDMAN, LISA ALLYN · 2016 to 2020
$3.2M
NCI NIH HHS R01 CA204013
6 · The paper itself

Abstract

motivationTelomeres are the repetitive sequences found at the ends of eukaryotic chromosomes and are often thought of as a 'biological clock,' with their average length shortening during division in most cells. In addition to their association with senescence, abnormal telomere lengths are well known to be associated with multiple cancers, short telomere syndromes and as risk factors for a broad range of diseases. While a majority of methods for measuring telomere length will report average lengths across all chromosomes, it is known that aberrations in specific chromosome arms are biomarkers for certain diseases. Due to their repetitive nature, characterizing telomeres at this resolution is prohibitive for short read sequencing approaches, and is challenging still even with longer reads.

resultsWe present Telogator: a method for reporting chromosome-specific telomere length from long read sequencing data. We demonstrate Telogator's sensitivity in detecting chromosome-specific telomere length in simulated data across a range of read lengths and error rates. Telogator is then applied to 10 germline samples, yielding a high correlation with short read methods in reporting average telomere length. In addition, we investigate common subtelomere rearrangements and identify the minimum read length required to anchor telomere/subtelomere boundaries in samples with these haplotypes. AVAILABILITY AND IMPLEMENTATION: Telogator is written in Python3 and is available at github.com/zstephens/telogator. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Repetitive Sequences, Nucleic AcidTelomereHaplotypes

Identifiers

PMID35022670
PMCPMC8963315

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.