Evidence map›Paper›PMID 23644822›Full record

ArticleEpigenetics2013

High quality methylome-wide investigations through next-generation sequencing of DNA from a single archived dry blood spot.

Karolina A Aberg, Lin Y Xie, Srilaxmi Nerella, William E Copeland, E Jane Costello, Edwin J C G van den Oord

Abstract read
In one paragraph

Article in Epigenetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. DifferentialInternational journal of molecular sciences · 2020
    Article
  5. Impact ofFrontiers in genetics · 2020
    Article
  6. Sleep and Methylation of Estrogen Receptor Genes,Nature and science of sleep · 2020
    Article
  7. Article
  8. Article
  9. Association betweenEpigenetics · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Development of DNA confirmatory and high-risk diagnostic testing for newborns using targeted next-generation DNA sequencing.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

6 authors.

Karolina A AbergCenter for Biomarker Research and Personalized Medicine, School of Pharmacy, Virginia Commonwealth University, Richmond, VA, USA. kaaberg@vcu.edu
Lin Y Xie
Srilaxmi Nerella
William E Copeland
E Jane Costello
Edwin J C G van den Oord

Funding

Vulnerability to Drug Abuse:Pathways to RecoveryR01DA011301 · NIDA · DUKE UNIVERSITY · PI COSTELLO, ELIZABETH JANE · 1997 to 2015
$7.3M
Whole genome profiling to detect schizophrenia methylation markersRC2MH089996 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2009 to 2010
$4.5M
NIDA NIH HHS R01 DA011301NIMH NIH HHS RC2 MH089996
6 · The paper itself

Abstract

The potential importance of DNA methylation in the etiology of complex diseases has led to interest in the development of methylome-wide association studies (MWAS) aimed at interrogating all methylation sites in the human genome. When using blood as biomaterial for a MWAS the DNA is typically extracted directly from fresh or frozen whole blood that was collected via venous puncture. However, DNA extracted from dry blood spots may also be an alternative starting material. In the present study, we apply a methyl-CpG binding domain (MBD) protein enrichment-based technique in combination with next generation sequencing (MBD-seq) to assess the methylation status of the ~27 million CpGs in the human autosomal reference genome. We investigate eight methylomes using DNA from blood spots. This data are compared with 1,500 methylomes previously assayed with the same MBD-seq approach using DNA from whole blood. When investigating the sequence quality and the enrichment profile across biological features, we find that DNA extracted from blood spots gives comparable results with DNA extracted from whole blood. Only if the amount of starting material is ≤ 0.5µg DNA we observe a slight decrease in the assay performance. In conclusion, we show that high quality methylome-wide investigations using MBD-seq can be conducted in DNA extracted from archived dry blood spots without sacrificing quality and without bias in enrichment profile as long as the amount of starting material is sufficient. In general, the amount of DNA extracted from a single blood spot is sufficient for methylome-wide investigations with the MBD-seq approach.

Indexed as

Blood BanksDried Blood Spot TestingCpG IslandsDNADNA MethylationHigh-Throughput Nucleotide SequencingHumansDNAarchived blood spotsDNA extractionMBD-seqmethylationnext-generation sequencing

Identifiers

PMID23644822
PMCPMC3741224

What OpenQuestion holds

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LicenceCC BY-NC
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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.