Evidence map›Paper›PMID 28703682›Full record

ArticleEpigenetics2017

A MBD-seq protocol for large-scale methylome-wide studies with (very) low amounts of DNA.

Karolina A Aberg, Robin F Chan, Andrey A Shabalin, Min Zhao, Gustavo Turecki, Nicklas Heine Staunstrup, Anna Starnawska, Ole Mors, Lin Y Xie, Edwin Jcg van den Oord

Abstract read
In one paragraph

Article in Epigenetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  5. 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
  6. Article
  7. Article
  8. Article
  9. Article
  10. Early adversities accelerate epigenetic aging into adulthood: a 10-year, within-subject analysis.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Article
  11. Review
  12. Article
  13. Article
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  18. Review
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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

10 authors.

Karolina A Aberga Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University , Richmond , VA , USA.ORCID 0000-0001-6103-5168
Robin F Chana Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University , Richmond , VA , USA.
Andrey A Shabalina Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University , Richmond , VA , USA.
Min Zhaoa Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University , Richmond , VA , USA.
Gustavo Tureckib Douglas Mental Health University Institute and Department of Psychiatry , McGill University , Montreal , Quebec , Canada.
Nicklas Heine Staunstrupc Department of Biomedicine , Aarhus University , Aarhus C , 8000 , Denmark.
Anna Starnawskac Department of Biomedicine , Aarhus University , Aarhus C , 8000 , Denmark.
Ole Morsd Translational Neuropsychiatric Unit , Aarhus University Hospital , Risskov , 8240 , Denmark.
Lin Y Xiea Center for Biomarker Research and Precision Medicine , Virginia Commonwealth University , Richmond , VA , USA.
Edwin Jcg van den Oorda Center for Biomarker Research and Precision Medicine , 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

We recently showed that, after optimization, our methyl-CpG binding domain sequencing (MBD-seq) application approximates the methylome-wide coverage obtained with whole-genome bisulfite sequencing (WGB-seq), but at a cost that enables adequately powered large-scale association studies. A prior drawback of MBD-seq is the relatively large amount of genomic DNA (ideally >1 µg) required to obtain high-quality data. Biomaterials are typically expensive to collect, provide a finite amount of DNA, and may simply not yield sufficient starting material. The ability to use low amounts of DNA will increase the breadth and number of studies that can be conducted. Therefore, we further optimized the enrichment step. With this low starting material protocol, MBD-seq performed equally well, or better, than the protocol requiring ample starting material (>1 µg). Using only 15 ng of DNA as input, there is minimal loss in data quality, achieving 93% of the coverage of WGB-seq (with standard amounts of input DNA) at similar false/positive rates. Furthermore, across a large number of genomic features, the MBD-seq methylation profiles closely tracked those observed for WGB-seq with even slightly larger effect sizes. This suggests that MBD-seq provides similar information about the methylome and classifies methylation status somewhat more accurately. Performance decreases with <15 ng DNA as starting material but, even with as little as 5 ng, MBD-seq still achieves 90% of the coverage of WGB-seq with comparable genome-wide methylation profiles. Thus, the proposed protocol is an attractive option for adequately powered and cost-effective methylome-wide investigations using (very) low amounts of DNA.

Indexed as

DNA MethylationBinding SitesCpG IslandsEpigenomicsFemaleGenome, HumanHumansMiddle AgedSequence Analysis, DNASulfiteshydrogen sulfiteSulfitesBlood spotslab-technical optimizationlow-input DNAmethyl-CpG binding domain sequencingmethylome-wide association studymethylome-wide coveragewhole-genome bisulfite sequencing

Identifiers

PMID28703682
PMCPMC5739096

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.