Evidence map›Paper›PMID 31739727›Full record

ArticleEpigenetics2020

MBD-seq - realities of a misunderstood method for high-quality methylome-wide association studies.

Karolina A Aberg, Robin F Chan, Edwin J C G van den Oord

Abstract readEvaluation Study
In one paragraph

Article in Epigenetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Pooled it
  2. Review
  3. Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. The Impact of Childhood Mental Health and Substance Use on Methylation Aging Into Adulthood.Journal of the American Academy of Child and Adolescent Psychiatry · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Early adversities accelerate epigenetic aging into adulthood: a 10-year, within-subject analysis.Journal of child psychology and psychiatry, and allied disciplines · 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

3 authors.

Karolina A AbergCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0001-6103-5168
Robin F ChanCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.ORCID 0000-0002-1774-4087
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA.

Funding

Developmental methylomics of childhood trauma and its health consequencesR01MH104576 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2014 to 2018
$3.1M
A longitudinal methylome study to detect biomarkers predicting MDD trajectoriesR01MH099110 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2013 to 2017
$2.9M
Schizophrenia case-control study of neonatal and post onset methylomesR01MH109525 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI ABERG, KAROLINA ANNA · 2017 to 2020
$2.3M
NIMH NIH HHS R01 MH099110NIMH NIH HHS R01 MH104576NIMH NIH HHS R01 MH109525
6 · The paper itself

Abstract

The majority of methylome-wide association studies (MWAS) have been performed using commercially available array-based technologies such as the Infinium Human Methylation 450K and the Infinium MethylationEPIC arrays (Illumina). While these arrays offer a convenient and relatively robust assessment of the probed sites they only allow interrogation of 2-4% of all CpG sites in the human genome. Methyl-binding domain sequencing (MBD-seq) is an alternative approach for MWAS that provides near-complete coverage of the methylome at similar costs as the array-based technologies. However, despite publication of multiple positive evaluations, the use of MBD-seq for MWAS is often fiercely criticized. Here we discuss key features of the method and debunk misconceptions using empirical data. We conclude that MBD-seq represents an excellent approach for large-scale MWAS and that increased utilization is likely to result in more discoveries, advance biological knowledge, and expedite the clinical translation of methylome-wide research findings.

Indexed as

EpigenomeCpG IslandsEpigenomicsGenome-Wide Association StudyHumansSensitivity and SpecificitySequence Analysis, DNASoftwareDNA methylationEpigeneticsepigenome-wide association study (EWAS)MBD-seqmethyl-binding domain sequencingmethylome-wide association study (MWAS)RaMWAS software

Identifiers

PMID31739727
PMCPMC7153543

What OpenQuestion holds

Textmetadata
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.