Evidence map›Paper›PMID 26891033›Full record

ArticleEpigenetics2016

Epigenome-wide profiling of DNA methylation in paired samples of adipose tissue and blood.

Yen-Tsung Huang, Su Chu, Eric B Loucks, Chien-Ling Lin, Charles B Eaton, Stephen L Buka, Karl T Kelsey

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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  15. AlteredEpigenetics · 2021
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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 1 institution in 1 country.

Yen-Tsung Huanga Departments of Epidemiology and Biostatistics , Brown University , Providence , RI , USA.
Su Chub Department of Epidemiology , Brown University , Providence , RI , USA.
Eric B Loucksc Department of Epidemiology , Brown University , Providence , RI , USA.
Chien-Ling Lind Department of Molecular Biology , Cell Biology and Biochemistry, Brown University , Providence , RI , USA.
Charles B Eatone Departments of Family Medicine and Epidemiology , Brown University , Providence , RI , USA.
Stephen L Bukaf Department of Epidemiology , Brown University , Providence , RI , USA.
Karl T Kelseyg Departments of Epidemiology and Pathobiology , Brown University , Providence , RI , USA.
Brown University · US

Funding

The New England Family Study: Fifty Year Post-Perinatal Follow-Up for Life CourseRC2AG036666 · NIA · BROWN UNIVERSITY · PI BUKA, STEPHEN L, EATON, CHARLES B · 2009 to 2010
$1.7M
Identifying Targets for Reducing Obesity Caused by Early Life DisadvantageR01AG048825 · NIA · BROWN UNIVERSITY · PI GILMAN, STEPHEN E, LOUCKS, ERIC · 2014 to 2015
$576k
Integrative Modeling of Gene Expression into GWAS of GliomaR03CA182937 · NCI · TUFTS UNIVERSITY BOSTON · PI HUANG, YEN-TSUNG, MICHAUD, DOMINIQUE S. · 2014 to 2015
$167k
NCI NIH HHS R03 CA182937NIA NIH HHS R01 AG048825NIA NIH HHS RC2 AG036666
6 · The paper itself

Abstract

Many epigenetic association studies have attempted to identify DNA methylation markers in blood that are able to mirror those in target tissues. Although some have suggested potential utility of surrogate epigenetic markers in blood, few studies have collected data to directly compare DNA methylation across tissues from the same individuals. Here, epigenomic data were collected from adipose tissue and blood in 143 subjects using Illumina HumanMethylation450 BeadChip array. The top axis of epigenome-wide variation differentiates adipose tissue from blood, which is confirmed internally using cross-validation and externally with independent data from the two tissues. We identified 1,285 discordant genes and 1,961 concordant genes between blood and adipose tissue. RNA expression data of the two classes of genes show consistent patterns with those observed in DNA methylation. The discordant genes are enriched in biological functions related to immune response, leukocyte activation or differentiation, and blood coagulation. We distinguish the CpG-specific correlation from the within-subject correlation and emphasize that the magnitude of within-subject correlation does not guarantee the utility of surrogate epigenetic markers. The study reinforces the critical role of DNA methylation in regulating gene expression and cellular phenotypes across tissues, and highlights the caveats of using methylation markers in blood to mirror the corresponding profile in the target tissue.

Indexed as

Adipose TissueAdultApoptosis Regulatory ProteinsBasic Helix-Loop-Helix ProteinsBiomarkersBody Mass IndexCpG IslandsDNA MethylationEpigenesis, GeneticEpigenomicsFatty Acid Synthase, Type IFemaleGenome-Wide Association StudyHumansMaleMiddle AgedApoptosis Regulatory ProteinsBasic Helix-Loop-Helix ProteinsBiomarkersFASN protein, humanFatty Acid Synthase, Type IHIF3A protein, humanRepressor ProteinsAdipose tissuebloodbody mass indexDNA methylationepigenomicsFASN (fatty acid synthase)HIF3A (hypoxia inducible factor 3principal component analysissurrogate markers

Identifiers

PMID26891033
PMCPMC4854552
OpenAlexW2279268491

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.