Evidence map›Paper›PMID 20238126›Full record

ArticleHuman genetics2010

Comparison of the DNA methylation profiles of human peripheral blood cells and transformed B-lymphocytes.

Yan V Sun, Stephen T Turner, Jennifer A Smith, Pamela I Hammond, Alicia Lazarus, Jodie L Van De Rostyne, Julie M Cunningham, Sharon L R Kardia

Abstract readComparative Study
In one paragraph

Article in Human genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

46 citing papers in PubMed, 62 citations in OpenAlex.

  1. Review
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  4. Review
  5. Methylation in the Promoter Region of the Dopamine TransporterInternational journal of environmental research and public health · 2022
    Article
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  11. Review
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  19. DNA methylation-based variation between human populations.Molecular genetics and genomics : MGG · 2017
    Review
  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

8 authors at 3 institutions in 1 country.

Yan V SunDepartment of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights #4629, Ann Arbor, MI 48109, USA. yansun@umich.edu
Stephen T Turner
Jennifer A Smith
Pamela I Hammond
Alicia Lazarus
Jodie L Van De Rostyne
Julie M Cunningham
Sharon L R Kardia
University of Michigan–Ann Arbor · USMayo Clinic · USWinnMed · US

Funding

Genetics of Microangiopathic Brain InjuryR01NS041558 · NINDS · MAYO CLINIC ROCHESTER · PI TURNER, STEPHEN T · 2001 to 2010
$5.8M
Epigenetic Biomarkers of Common Chronic DiseasesRC1HL100185 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KARDIA, SHARON L · 2009 to 2010
$999k
NHLBI NIH HHS HL100185NHLBI NIH HHS RC1 HL100185NINDS NIH HHS NS041558NINDS NIH HHS R01 NS041558
6 · The paper itself

Abstract

Epidemiological studies of DNA methylation (DNAm) profiles may hold substantial promise for identifying mechanisms through which genetic and environmental factors jointly contribute to disease risk. Different cell types are likely to have different DNAm patterns. We investigate the DNAm differences between two types of biospecimens available in many genetic epidemiology studies. We compared DNAm patterns in two different DNA samples from each of 34 participants in the Genetic Epidemiology Network of Arteriopathy study (20 Caucasians and 14 African-Americans). One was extracted from peripheral blood cells (PBC) and the other from transformed B-lymphocytes (TBL). The genome-wide DNAm profiles were compared at over 27,000 genome-wide methylation sites. We found that 26 out of the 34 participants had correlation coefficients higher than 0.9 between methylation profiles of PBC and TBL. Although a high correlation was observed in the DNAm profile between PBC and TBL, we also observed variation across samples from different DNA resources and donors. Using principal component analysis of the DNAm profiles, the two sources of the DNA samples could be accurately predicted. We also identified 3,723 autosomal DNAm sites that had significantly different methylation statuses in PBC compared to TBL (Bonferroni corrected p value <0.05). Both PBC and TBL provide a rich resource for understanding the DNAm profiles in humans participating in epidemiologic studies. While the majority of DNAm findings in PBC and TBL may be consistent, caution must be used when interpreting results because of the possibility of cell type-specific methylation modification.

Indexed as

DNA MethylationMolecular EpidemiologyBase SequenceBlood CellsB-LymphocytesDNAFemaleGenesHumansMaleRisk FactorsDNA

Identifiers

PMID20238126
PMCPMC2873107
OpenAlexW2095427541

What OpenQuestion holds

Textmetadata
LicenceTDM
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.