Evidence map›Paper›PMID 32885222›Full record

ArticlePatterns (New York, N.Y.)2020

Patterns of Reliability: Assessing the Reproducibility and Integrity of DNA Methylation Measurement.

Karen Sugden, Eilis J Hannon, Louise Arseneault, Daniel W Belsky, David L Corcoran, Helen L Fisher, Renate M Houts, Radhika Kandaswamy, Terrie E Moffitt, Richie Poulton and 6 more

Abstract read
In one paragraph

Article in Patterns (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 4 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

103 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Epigenome-wide Association Study Analysis of Calorie Restriction in Humans, CALERIETM Trial Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Trial
  8. Article
  9. An epigenetic speedometer to measure Pace of Aging: FraminghamPACE.medRxiv : the preprint server for health sciences · 2026
    Article
  10. Functional, molecular, and digital measurements of biological age.The Journal of clinical investigation · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

43 more citing papers are in PubMed but not listed here.

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

16 authors.

Karen SugdenDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.
Eilis J HannonComplex Disease Epigenetics Group, University of Exeter Medical School, Exeter, UK.
Louise ArseneaultKing's College London, Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, London, UK.
Daniel W BelskyDepartment of Epidemiology & Butler Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA.
David L CorcoranCenter for Genomic and Computational Biology, Duke University, Durham, NC, USA.
Helen L FisherKing's College London, Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, London, UK.
Renate M HoutsDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.
Radhika KandaswamyKing's College London, Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, London, UK.
Terrie E MoffittDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.
Richie PoultonDunedin Multidisciplinary Health and Development Research Unit, University of Otago, Dunedin, New Zealand.
Joseph A PrinzCenter for Genomic and Computational Biology, Duke University, Durham, NC, USA.
Line J H RasmussenDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.
Benjamin S WilliamsDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.
Chloe C Y WongKing's College London, Social, Genetic, and Developmental Psychiatry Research Centre, Institute of Psychiatry, Psychology, and Neuroscience, London, UK.
Jonathan MillComplex Disease Epigenetics Group, University of Exeter Medical School, Exeter, UK.
Avshalom CaspiDepartment of Psychology and Neuroscience, Duke University, Grey Building, 2020 West Main Street, Suite 201, Durham, NC 27705, USA.

Funding

Quantifying Individual Differences in Midlife Structural Brain Integrity Associated with Later AD/ADRD RiskR01AG049789 · NIA · DUKE UNIVERSITY · PI AHMAD R. HARIRI, TERRIE E MOFFITT · 2015 to 2026
$10.6M
Is mental disorder a preventable cause of age-related disease? The Dunedin Study.R01AG032282 · NIA · DUKE UNIVERSITY · PI CASPI, AVSHALOM, MOFFITT, TERRIE E · 2009 to 2025
$9.5M
Neuropsychological and genomic signatures of violence exposure in childhoodR01HD077482 · NICHD · DUKE UNIVERSITY · PI CASPI, AVSHALOM · 2013 to 2018
$2.8M
Medical Research Council G1002190Medical Research Council MR/P005918/1NIA NIH HHS R01 AG032282NIA NIH HHS R01 AG049789NICHD NIH HHS R01 HD077482
6 · The paper itself

Abstract

DNA methylation plays an important role in both normal human development and risk of disease. The most utilized method of assessing DNA methylation uses BeadChips, generating an epigenome-wide "snapshot" of >450,000 observations (probe measurements) per assay. However, the reliability of each of these measurements is not equal, and little consideration is paid to consequences for research. We correlated repeat measurements of the same DNA samples using the Illumina HumanMethylation450K and the Infinium MethylationEPIC BeadChips in 350 blood DNA samples. Probes that were reliably measured were more heritable and showed consistent associations with environmental exposures, gene expression, and greater cross-tissue concordance. Unreliable probes were less replicable and generated an unknown volume of false negatives. This serves as a lesson for working with DNA methylation data, but the lessons are equally applicable to working with other data: as we advance toward generating increasingly greater volumes of data, failure to document reliability risks harming reproducibility.

Identifiers

PMID32885222
PMCPMC7467214

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.