Evidence map›Paper›PMID 30270718›Full record

ArticleEpigenetics2018

Variation in DNA methylation of human blood over a 1-year period using the Illumina MethylationEPIC array.

Ina Zaimi, Dong Pei, Devin C Koestler, Carmen J Marsit, Immaculata De Vivo, Shelley S Tworoger, Alexandra E Shields, Karl T Kelsey, Dominique S Michaud

Abstract read
In one paragraph

Article in Epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

9 authors.

Ina Zaimia Department of Public Health & Community Medicine, Tufts University School of Medicine , Tufts University , Boston , USA.ORCID 0000-0002-8759-5187
Dong Peib Department of Biostatistics , University of Kansas Medical Center , Kansas City , USA.
Devin C Koestlerb Department of Biostatistics , University of Kansas Medical Center , Kansas City , USA.ORCID 0000-0002-0598-0146
Carmen J Marsitd Department of Environmental Health and Department of Epidemiology, Rollins School of Public Health , Emory University , Atlanta , USA.
Immaculata De Vivoe Channing Division of Network Medicine, Department of Medicine , Brigham and Women's Hospital and Harvard Medical School , Boston , USA.
Shelley S Tworogerf Department of Cancer Epidemiology , Moffitt Cancer Center , Tampa , USA.
Alexandra E Shieldsh Department of Medicine , Harvard Medical School , Boston , MA , USA.
Karl T Kelseyi Department of Epidemiology , Brown University , Providence , USA.
Dominique S Michauda Department of Public Health & Community Medicine, Tufts University School of Medicine , Tufts University , Boston , USA.

Funding

Mentoring CoreP20GM103418 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI SUSAN J. BROWN · 2012 to 2026
$63.0M
Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NICOLE L NOLLEN · 2012 to 2026
$40.1M
Life Course Cancer Epidemiology Cohort in WomenUM1CA176726 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2013 to 2017
$15.7M
Prospective immune profiling using methylation markers and pancreatic cancer riskR01CA207110 · NCI · TUFTS UNIVERSITY BOSTON · PI KELSEY, KARL TIMOTHY, MICHAUD, DOMINIQUE S. · 2016 to 2018
$2.1M
Psychological stress, associate biologic mediators, and ovarian cancer riskR01CA163451 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2012 to 2015
$1.7M
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA163451NCI NIH HHS R01 CA207110NCI NIH HHS UM1 CA176726NIGMS NIH HHS P20 GM103418
6 · The paper itself

Abstract

Assessing DNA methylation profiles in human blood has become a major focus of epidemiologic inquiry. Understanding variability in CpG-specific DNA methylation over moderate periods of time is a critical first step in identifying CpG sites that are candidates for DNA methylation-based etiologic, diagnostic and prognostic predictors of pathogenesis. Using the Illumina MethylationEPIC [850K] BeadArray, DNA methylation was profiled in paired whole blood samples collected approximately 1 year apart from 35 healthy women enrolled in the Nurses Study II cohort. The median intraclass correlation coefficient (ICC) across all CpG loci was 0.19 [Interquartile Range (IQR) 0.00-0.50]; 74.8% of ICCs were in the low range (0-0.5), 16.9% in the mid-range of ICCs (0.5-0.8), and 8.3% in the high-range of ICCs (0.8-1). ICCs were similar for CpG probes on the 450K Illumina array (median 0.17) and the new probes added to the 850K array (median 0.21). ICCs for CpG loci on the sex chromosomes and known metastable epialleles were high (median 0.71, 0.97, respectively), and ICCs among methylation quantitative trait loci (mQTL) CpGs were significantly higher as compared to non-mQTL CpGs (median 0.73, 0.16, respectively, P < 2 × 10

Indexed as

DNA MethylationGenetic VariationAgedBiological Variation, PopulationCpG IslandsDNAFemaleHumansMiddle AgedReproducibility of ResultsSequence Analysis, DNADNADNA methylationIllumina MethylationEPIC arrayreproducibility

Identifiers

PMID30270718
PMCPMC6342169

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.