Evidence map›Paper›PMID 29358629›Full record

ArticleScientific reports2018

Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data.

James H R Farmery, Mike L Smith, NIHR BioResource - Rare Diseases, Andy G Lynch

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Trial
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  7. Limitations of serial cloning in mammals.Nature communications · 2026
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  20. Techniques for assessing telomere length: A methodological review.Computational and structural biotechnology journal · 2024
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

James H R FarmeryCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK. henry.farmery@cruk.cam.ac.uk.
Mike L SmithEuropean Molecular Biology Laboratory (EMBL), Genome Biology Unit, 69117, Heidelberg, Germany.
NIHR BioResource - Rare Diseases
Andy G LynchCancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0002-7876-7338

Funding

Cancer Research UK 20406Medical Research Council G84/6443Medical Research Council MC_EX_MR/S300011/1Medical Research Council MC_UU_00002/10Medical Research Council MR/K023489/1Medical Research Council MR/L006197/1Medical Research Council MR/L006340/1Medical Research Council MR/P02002X/1Wellcome Trust
6 · The paper itself

Abstract

Telomere length is a risk factor in disease and the dynamics of telomere length are crucial to our understanding of cell replication and vitality. The proliferation of whole genome sequencing represents an unprecedented opportunity to glean new insights into telomere biology on a previously unimaginable scale. To this end, a number of approaches for estimating telomere length from whole-genome sequencing data have been proposed. Here we present Telomerecat, a novel approach to the estimation of telomere length. Previous methods have been dependent on the number of telomeres present in a cell being known, which may be problematic when analysing aneuploid cancer data and non-human samples. Telomerecat is designed to be agnostic to the number of telomeres present, making it suited for the purpose of estimating telomere length in cancer studies. Telomerecat also accounts for interstitial telomeric reads and presents a novel approach to dealing with sequencing errors. We show that Telomerecat performs well at telomere length estimation when compared to leading experimental and computational methods. Furthermore, we show that it detects expected patterns in longitudinal data, repeated measurements, and cross-species comparisons. We also apply the method to a cancer cell data, uncovering an interesting relationship with the underlying telomerase genotype.

Indexed as

AlgorithmsTelomere HomeostasisCarcinoma, HepatocellularGene ExpressionGenotypeHumansInduced Pluripotent Stem CellsLiver NeoplasmsMesenchymal Stem CellsPloidiesPrimary Cell CultureTelomeraseTelomereWhole Genome SequencingTelomeraseTERT protein, human

Identifiers

PMID29358629
PMCPMC5778012

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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.