Evidence map›Paper›PMID 26177298›Full record

ArticlePloS one2015

Evaluation of Methyl-Binding Domain Based Enrichment Approaches Revisited.

Karolina A Aberg, Linying Xie, Robin F Chan, Min Zhao, Ashutosh K Pandey, Gaurav Kumar, Shaunna L Clark, Edwin J C G van den Oord

Abstract readEvaluation Study
In one paragraph

Article in PloS one, 2015. 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. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Vitamin BJournal of neuroinflammation · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
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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

8 authors.

Karolina A AbergCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Linying XieCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Robin F ChanCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Min ZhaoCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Ashutosh K PandeyCenter for Integrative and Translational Genomics and Department of Anatomy and Neurobiology, University of Tennessee Health Science Center, Memphis, TN, United States of America.
Gaurav KumarCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Shaunna L ClarkCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.
Edwin J C G van den OordCenter for Biomarker Research and Precision Medicine, Virginia Commonwealth University, Richmond, VA, United States of America.

Funding

A longitudinal methylome study to detect biomarkers predicting MDD trajectoriesR01MH099110 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2013 to 2017
$2.9M
Investigating Methylation Patterns Associated with Alcohol Use and AddictionK01AA021266 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLARK, SHAUNNA L · 2012 to 2016
$580k
NIAAA NIH HHS 5K01AA021266NIAAA NIH HHS K01 AA021266NIMH NIH HHS 1R01MH099110NIMH NIH HHS R01 MH099110
6 · The paper itself

Abstract

Methyl-binding domain (MBD) enrichment followed by deep sequencing (MBD-seq), is a robust and cost efficient approach for methylome-wide association studies (MWAS). MBD-seq has been demonstrated to be capable of identifying differentially methylated regions, detecting previously reported robust associations and producing findings that replicate with other technologies such as targeted pyrosequencing of bisulfite converted DNA. There are several kits commercially available that can be used for MBD enrichment. Our previous work has involved MethylMiner (Life Technologies, Foster City, CA, USA) that we chose after careful investigation of its properties. However, in a recent evaluation of five commercially available MBD-enrichment kits the performance of the MethylMiner was deemed poor. Given our positive experience with MethylMiner, we were surprised by this report. In an attempt to reproduce these findings we here have performed a direct comparison of MethylMiner with MethylCap (Diagenode Inc, Denville, NJ, USA), the best performing kit in that study. We find that both MethylMiner and MethylCap are two well performing MBD-enrichment kits. However, MethylMiner shows somewhat better enrichment efficiency and lower levels of background "noise". In addition, for the purpose of MWAS where we want to investigate the majority of CpGs, we find MethylMiner to be superior as it allows tailoring the enrichment to the regions where most CpGs are located. Using targeted bisulfite sequencing we confirmed that sites where methylation was detected by either MethylMiner or by MethylCap indeed were methylated.

Indexed as

AnimalsCpG IslandsDNADNA MethylationGenomeMaleMiceMice, Inbred DBANucleic Acid ConformationSequence Analysis, DNADNA

Identifiers

PMID26177298
PMCPMC4503759

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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.