Evidence map›Paper›PMID 24402055›Full record

ArticleJAMA psychiatry2014

Methylome-wide association study of schizophrenia: identifying blood biomarker signatures of environmental insults.

Karolina A Aberg, Joseph L McClay, Srilaxmi Nerella, Shaunna Clark, Gaurav Kumar, Wenan Chen, Amit N Khachane, Linying Xie, Alexandra Hudson, Guimin Gao and 5 more

Open access · greenAbstract read
In one paragraph

Article in JAMA psychiatry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 4 pooled it
17.5field-weighted citation impact, top 1% 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

119 citing papers in PubMed, 4 syntheses or guidelines pooled it, 251 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Epigenetic Control in Schizophrenia.Sub-cellular biochemistry · 2025
    Review
  11. Article
  12. Article
  13. Review
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  17. Review
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  19. Article
  20. Methylome-wide Association Study of Patients with Recent-onset Psychosis.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022
    Article

59 more citing papers are in PubMed but not listed here.

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

15 authors at 3 institutions in 2 countries.

Karolina A AbergCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Joseph L McClayCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Srilaxmi NerellaCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Shaunna ClarkCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Gaurav KumarCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Wenan ChenDepartment of Biostatistics, Virginia Commonwealth University, Richmond.
Amit N KhachaneCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Linying XieCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Alexandra HudsonCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Guimin GaoDepartment of Biostatistics, Virginia Commonwealth University, Richmond.
Aki HaradaCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Christina M HultmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Patrick F SullivanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden4Departments of Genetics and Psychiatry, University of North Carolina at Chapel Hill.
Patrik K E MagnussonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Edwin J C G van den OordCenter for Biomarker Research and Personalized Medicine, Virginia Commonwealth University, Richmond.
Virginia Commonwealth University · USKarolinska Institutet · SEUniversity of North Carolina at Chapel Hill · US

Funding

A Large-Scale Schizophrenia Association Study in SwedenR01MH077139 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2007 to 2018
$9.9M
Whole genome profiling to detect schizophrenia methylation markersRC2MH089996 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI VAN DEN OORD, EDWIN · 2009 to 2010
$4.5M
Investigating Methylation Patterns Associated with Alcohol Use and AddictionK01AA021266 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI CLARK, SHAUNNA L · 2012 to 2016
$580k
NIAAA NIH HHS K01 AA021266NIMH NIH HHS MH077139NIMH NIH HHS R01 MH077139NIMH NIH HHS RC2 MH089996NIMH NIH HHS RC2MH089996
6 · The paper itself

Abstract

importanceEpigenetic studies present unique opportunities to advance schizophrenia research because they can potentially account for many of its clinical features and suggest novel strategies to improve disease management.

objectiveTo identify schizophrenia DNA methylation biomarkers in blood. DESIGN, SETTING, AND

participantsThe sample consisted of 759 schizophrenia cases and 738 controls (N = 1497) collected in Sweden. We used methyl-CpG-binding domain protein-enriched genome sequencing of the methylated genomic fraction, followed by next-generation DNA sequencing. We obtained a mean (SD) number of 68 (26.8) million reads per sample. This massive data set was processed using a specifically designed data analysis pipeline. Critical top findings from our methylome-wide association study (MWAS) were replicated in independent case-control participants using targeted pyrosequencing of bisulfite-converted DNA. MAIN OUTCOMES AND MEASURES: Status of schizophrenia cases and controls.

resultsOur MWAS suggested a considerable number of effects, with 25 sites passing the highly conservative Bonferroni correction and 139 sites significant at a false discovery rate of 0.01. Our top MWAS finding, which was located in FAM63B, replicated with P = 2.3 × 10-10. It was part of the networks regulated by microRNA that can be linked to neuronal differentiation and dopaminergic gene expression. Many other top MWAS results could be linked to hypoxia and, to a lesser extent, infection, suggesting that a record of pathogenic events may be preserved in the methylome. Our findings also implicated a site in RELN, one of the most frequently studied candidates in methylation studies of schizophrenia. CONCLUSIONS AND RELEVANCE: To our knowledge, the present study is one of the first MWASs of disease with a large sample size using a technology that provides good coverage of methylation sites across the genome. Our results demonstrated one of the unique features of methylation studies that can capture signatures of environmental insults in peripheral tissues. Our MWAS suggested testable hypotheses about disease mechanisms and yielded biomarkers that can potentially be used to improve disease management.

Indexed as

DNA MethylationRegistriesBiomarkersEpigenomicsGenome-Wide Association StudyHumansReelin ProteinSchizophreniaSequence Analysis, DNASwedenBiomarkersReelin ProteinRELN protein, human

Identifiers

PMID24402055
PMCPMC4331014
OpenAlexW2094005621

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.