Evidence map›Paper›PMID 29310721›Full record

ArticleBMC research notes2018

The utility of DNA extracted from saliva for genome-wide molecular research platforms.

Fiona J Bruinsma, Jihoon E Joo, Ee Ming Wong, Graham G Giles, Melissa C Southey

Abstract readComparative Study
In one paragraph

Article in BMC research notes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Circulating Nucleic Acid-Based Biomarkers of Type 2 Diabetes.International journal of molecular sciences · 2021
    Review
  9. Methylation Status ofJournal of clinical research in pediatric endocrinology · 2021
    Observational
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Next-Generation Novel Noninvasive Cancer Molecular Diagnostics Platforms Beyond Tissues.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018
    Review
  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

5 authors.

Fiona J BruinsmaCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia.
Jihoon E JooGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
Ee Ming WongGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Australia. msouthey@unimelb.edu.au.ORCID http://orcid.org/0000-0002-6313-9005

Funding

National Health and Medical Research Council 1011626National Health and Medical Research Council 1074383National Health and Medical Research Council 623204National Health and Medical Research Council APP1061177
6 · The paper itself

Abstract

objectiveThe study aimed to investigate the suitability of DNA extracted from saliva for high throughput molecular genotyping and DNA methylation platforms by comparing its performance with that of DNA extracted from blood. The genome-wide methylation profile, using the Infinium HumanMethylation450 Beadchip array

resultsDNA from blood and saliva returned genotyping call rates and reproducibility frequencies of > 99%. High-quality DNA methylation data was obtained from both saliva and blood DNA, with average detection p-values for each sample ranging from 0.001 to 0.006. Slightly higher global DNA methylation levels were observed in whole blood DNA than saliva DNA. Correlations between individuals for each sample type were generally greater than correlations between two sample types from the same individual (Pearson's correlation, r = 0.9696 in 10 pairs of matched blood and saliva derived DNA, r = 0.9702 between saliva samples, and r = 0.9769 between blood derived DNA). Saliva yields DNA of sufficient quantity and quality to compare favourably with blood as a source of DNA for genetic and epigenetic research purposes.

Indexed as

DNA MethylationEpigenesis, GeneticBloodHigh-Throughput Nucleotide SequencingHumansSalivaSequence Analysis, DNABloodDNA methylationEpigeneticsGenetic analysesSaliva

Identifiers

PMID29310721
PMCPMC5759806

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.