Evidence map›Paper›PMID 27457678›Full record

ArticleScientific reports2016

Reliability of DNA methylation measures from dried blood spots and mononuclear cells using the HumanMethylation450k BeadArray.

Pierre-Antoine Dugué, Dallas R English, Robert J MacInnis, Chol-Hee Jung, Julie K Bassett, Liesel M FitzGerald, Ee Ming Wong, Jihoon E Joo, John L Hopper, Melissa C Southey and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06509776 (Early Life Determinants of Skeletal Maturation and Endocrine Health in Young Adults - A Nationwide Birth Cohort Study), which is not on this map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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.

NCT06509776 enrolling by invitationnot on this mapstarted 2024, after this paper: background citation

Early Life Determinants of Skeletal Maturation and Endocrine Health in Young Adults - A Nationwide Birth Cohort Study

TypeobservationalSponsorHolbaek SygehusRan2024 to 2031Enrolled2,000ConditionsOsteoporosis, Sarcopenia, Obesity, Cardiovascular Diseases
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Social relationships and epigenetic markers of aging in middle-aged and older adults: cross-sectional and prospective analyses.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
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  8. Article
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  10. Association of Epigenetic Markers of Aging With Prevalent and Incident Type 2 Diabetes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  11. Article
  12. Article
  13. Article
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  16. Body Size, Diet Quality, and Epigenetic Aging: Cross-Sectional and Longitudinal Analyses.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  17. Epigenetic aging & embodying injustice: USmedRxiv : the preprint server for health sciences · 2023
    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

12 authors.

Pierre-Antoine DuguéCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Dallas R EnglishCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Robert J MacInnisCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Chol-Hee JungVLSCI Life Sciences Computation Centre, University of Melbourne, Carlton VIC, Australia.
Julie K BassettCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Liesel M FitzGeraldCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Ee Ming WongGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Melbourne.
Jihoon E JooGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Melbourne.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Melissa C SoutheyGenetic Epidemiology Laboratory, Department of Pathology, University of Melbourne, Parkville, VIC, Melbourne.
Graham G GilesCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.
Roger L MilneCancer Epidemiology Centre, Cancer Council Victoria, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reliability of methylation measures from the widely used HumanMethylation450 (HM450K) microarray has not been assessed for DNA from dried blood spots (DBS) or peripheral blood mononuclear cells (PBMC), nor for combined data from different studies. Repeated HM450K methylation measures in DNA from DBS and PBMC samples were available from participants in six case-control studies nested within the Melbourne Collaborative Cohort Study. Reliability was assessed for individual CpGs by calculating the intraclass correlation coefficient (ICC) based on technical replicates (samples repeated in a single study; 126 PBMC, 136 DBS) and study duplicates (samples repeated across studies; 280 PBMC, 769 DBS) using mixed-effects models. Reliability based on technical replicates was moderate for PBMC (median ICC = 0.42), but lower for DBS (median ICC = 0.20). Study duplicates gave lower ICCs than technical replicates. CpGs that were either highly methylated or unmethylated generally had lower ICCs, which appeared to be mostly related to their lower variability. The ICCs for global methylation measures were high, typically greater than 0.70. The reliability of methylation measures determined by the HM450K microarray is wide-ranging and depends primarily on the variability in methylation at individual CpG sites. The power of association studies is low for a substantial proportion of CpGs in the HM450K assay.

Indexed as

DNA MethylationCpG IslandsDried Blood Spot TestingHumansMonocytesOligonucleotide Array Sequence AnalysisReagent Kits, DiagnosticReproducibility of ResultsReagent Kits, Diagnostic

Identifiers

PMID27457678
PMCPMC4960587

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Registered trials

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.