Evidence map›Paper›PMID 28886139›Full record

ArticlePloS one2017

Effect of pre-analytic variables on the reproducibility of qPCR relative telomere length measurement.

Casey L Dagnall, Belynda Hicks, Kedest Teshome, Amy A Hutchinson, Shahinaz M Gadalla, Payal P Khincha, Meredith Yeager, Sharon A Savage

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Monochrome Multiplex Quantitative PCR Telomere Length Measurement.Journal of visualized experiments : JoVE · 2024
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Telomere-mediated lung disease.Physiological reviews · 2022
    Review
  15. Article
  16. Article
  17. Race Differences in Telomere Length in Benign Prostate Biopsies and Subsequent Risk of Prostate Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  18. Article
  19. Article
  20. Article
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

8 authors.

Casey L DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Belynda HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Kedest TeshomeDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Amy A HutchinsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Shahinaz M GadallaDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Payal P KhinchaDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Meredith YeagerDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.
Sharon A SavageDivision of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, Maryland, United States of America.ORCID http://orcid.org/0000-0001-6006-0740

Funding

Genetic Epidemiology of Telomere Maintenance and Cancer EtiologyZIACP010190 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$10.2M
6 · The paper itself

Abstract

Telomeres, long nucleotide repeats and a protein complex at chromosome ends, shorten with each cell division and are susceptible to oxidative damage. Quantitative PCR (qPCR) is a widely-used technique to measure relative telomere length (RTL) in DNA samples but is challenging to optimize and significant lab-to-lab variability has been reported. In this study, we evaluated factors that may contribute to qPCR RTL measurement variability including DNA extraction methods, methods used for removing potential residual PCR inhibitors, sample storage conditions, and sample location in the PCR plate. Our results show that the DNA extraction and purification techniques, as well as sample storage conditions introduce significant variability in qPCR RTL results. We did not find significant differences in results based on sample location in the PCR plate or qPCR instrument used. These data suggest that lack of reproducibility in published association studies of RTL could be, in part, due to methodological inconsistencies. This study illustrates the importance of uniform sample handling, from DNA extraction through data generation and analysis, in using qPCR to determine RTL.

Indexed as

Real-Time Polymerase Chain ReactionDNAHumansReproducibility of ResultsSpecimen HandlingTelomereTelomere HomeostasisDNA

Identifiers

PMID28886139
PMCPMC5590866

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.