Evidence map›Paper›PMID 23895651›Full record

ArticleEpigenomics2013

Testing two models describing how methylome-wide studies in blood are informative for psychiatric conditions.

Karolina A Aberg, Lin Y Xie, Joseph L McClay, Srilaxmi Nerella, Sarah Vunck, Sarah Snider, Patrick M Beardsley, Edwin J C G van den Oord

Abstract read
In one paragraph

Article in Epigenomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. An epigenetic rheostat of experience: DNA methylation ofComprehensive psychoneuroendocrinology · 2021
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  18. ThePharmacogenomics · 2019
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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

8 authors.

Karolina A AbergCenter for Biomarker Research & Personalized Medicine, School of Pharmacy, Virginia Commonwealth University, 1112 East Clay Street, PO Box 980533, Richmond, VA 23298, USA. kaaberg@vcu.edu
Lin Y Xie
Joseph L McClay
Srilaxmi Nerella
Sarah Vunck
Sarah Snider
Patrick M Beardsley
Edwin J C G van den Oord

Funding

Whole genome profiling to detect schizophrenia methylation markersRC2MH089996 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2009 to 2010
$4.5M
NIMH NIH HHS RC2 MH089996NIMH NIH HHS RC2MH089996
6 · The paper itself

Abstract

aimAs the primary relevant tissue (brain) for psychiatric disorders is commonly not available, we aimed to investigate whether blood can be used as a proxy in methylation studies on the basis of two models. In the 'signature' model methylation-disease associations occur because a disease-causing factor affected methylation in the blood. In the 'mirror-site' model the methylation status in the blood is correlated with the corresponding disease-causing site in the brain. MATERIALS, METHODS &

resultsMethyl-binding domain enrichment and next-generation sequencing of the blood, cortex and hippocampus from four haloperidol-treated and ten untreated C57BL/6 mice revealed high levels of correlation in methylation across tissues. Despite the treatment inducing a large number of methylation changes, this correlation remains high.

conclusionOur results show that, consistent with the signature model, factors that affect brain processes (i.e., haloperidol) leave biomarker signatures in the blood and, consistent with the mirror-site model, the methylation status of many sites in the blood mirror those in the brain.

Indexed as

DNA MethylationModels, BiologicalAnimalsAntipsychotic AgentsBiomarkersBrainComputational BiologyCpG IslandsDNA-Binding ProteinsEpigenesis, GeneticHaloperidolMaleMental DisordersMiceMice, Inbred C57BLAntipsychotic AgentsBiomarkersDNA-Binding ProteinsHaloperidol

Identifiers

PMID23895651
PMCPMC3904748

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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.