Evidence map›Paper›PMID 25660083›Full record

ArticleScientific reports2015

Discordance of DNA methylation variance between two accessible human tissues.

Ruiwei Jiang, Meaghan J Jones, Edith Chen, Sarah M Neumann, Hunter B Fraser, Gregory E Miller, Michael S Kobor

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. 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
4.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.

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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

7 authors at 3 institutions in 2 countries.

Ruiwei JiangCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Meaghan J JonesCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Edith ChenDepartment of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, United States.
Sarah M NeumannCentre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada.
Hunter B FraserDepartment of Biology, Stanford University, Stanford, CA 94305, United States.
Gregory E MillerDepartment of Psychology and Institute for Policy Research, Northwestern University, Evanston, IL 60208, United States.
Michael S Kobor1] Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, V5Z 4H4, Canada [2] Human Early Learning Partnership, School of Population and Public Health, University of British Columbia, Vancouver, BC, V6T 1Z8, Canada.
University of British Columbia · CANorthwestern University · USStanford University · US

Funding

Socioeconomic and Neuroendocrine Determinants of Fetal Loss and Perinatal ComplicR24MH081797 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI BOYCE, THOMAS W · 2007 to 2010
$2.8M
Biological Embedding of Early-Life SESR01HD058502 · NICHD · UNIVERSITY OF BRITISH COLUMBIA · PI MILLER, GREGORY EVAN · 2009 to 2013
$1.3M
NICHD NIH HHS HD058502NICHD NIH HHS R01 HD058502NIMH NIH HHS R24 MH081797NIMH NIH HHS R24-MH081797
6 · The paper itself

Abstract

Population epigenetic studies have been seeking to identify differences in DNA methylation between specific exposures, demographic factors, or diseases in accessible tissues, but relatively little is known about how inter-individual variability differs between these tissues. This study presents an analysis of DNA methylation differences between matched peripheral blood mononuclear cells (PMBCs) and buccal epithelial cells (BECs), the two most accessible tissues for population studies, in 998 promoter-located CpG sites. Specifically we compared probe-wise DNA methylation variance, and how this variance related to demographic factors across the two tissues. PBMCs had overall higher DNA methylation than BECs, and the two tissues tended to differ most at genomic regions of low CpG density. Furthermore, although both tissues showed appreciable probe-wise variability, the specific regions and magnitude of variability differed strongly between tissues. Lastly, through exploratory association analysis, we found indication of differential association of BEC and PBMC with demographic variables. The work presented here offers insight into variability of DNA methylation between individuals and across tissues and helps guide decisions on the suitability of buccal epithelial or peripheral mononuclear cells for the biological questions explored by epigenetic studies in human populations.

Indexed as

DNA MethylationEpigenomicsGenetic VariationAdultCpG IslandsEpithelial CellsFemaleHumansLeukocytes, MononuclearMaleMiddle AgedMouth MucosaOrgan SpecificityRisk Factors

Identifiers

PMID25660083
PMCPMC4321176
OpenAlexW1986821987

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.