Evidence map›Paper›PMID 25598502›Full record

ArticleProgress in neuro-psychopharmacology & biological psychiatry2015

Associations between DNA methylation and schizophrenia-related intermediate phenotypes - a gene set enrichment analysis.

Johanna Hass, Esther Walton, Carrie Wright, Andreas Beyer, Markus Scholz, Jessica Turner, Jingyu Liu, Michael N Smolka, Veit Roessner, Scott R Sponheim and 3 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Progress in neuro-psychopharmacology & biological psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. DNA Methylation Associated with Mitochondrial Dysfunction in a South African Autism Spectrum Disorder Cohort.Autism research : official journal of the International Society for Autism Research · 2020
    Article
  9. Methylation of theAnnals of translational medicine · 2020
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Longitudinal epigenetic predictors of amygdala:hippocampus volume ratio.Journal of child psychology and psychiatry, and allied disciplines · 2017
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. A Methionine-Induced Animal Model of Schizophrenia: Face and Predictive Validity.The international journal of neuropsychopharmacology · 2015
    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

13 authors at 6 institutions in 2 countries.

Johanna HassTranslational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.
Esther WaltonTranslational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.
Carrie WrightDepartment of Neurosciences, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA; The Mind Research Network, Albuquerque, NM USA.
Andreas BeyerCellular Networks and Systems Biology, Biotechnology Center, TU Dresden, Dresden, Germany; University of Cologne, CECAD, Cologne, Germany.
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Leipzig, Germany; LIFE (Leipzig Interdisciplinary Research Cluster of Genetic Factors, Phenotypes and Environment), University of Leipzig, Leipzig, Germany.
Jessica TurnerThe Mind Research Network, Albuquerque, NM USA; Psychology Department, University of New Mexico, Albuquerque, NM, USA.
Jingyu LiuThe Mind Research Network, Albuquerque, NM USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM USA.
Michael N SmolkaDepartment of Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.
Veit RoessnerTranslational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany.
Scott R SponheimMinneapolis VA Health Care System, Department of Psychiatry, University of Minnesota, Minneapolis, MN USA.
Randy L GollubDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA USA; MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA USA.
Vince D CalhounThe Mind Research Network, Albuquerque, NM USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM USA.
Stefan EhrlichTranslational Developmental Neuroscience Section, Department of Child and Adolescent Psychiatry, Faculty of Medicine, TU Dresden, Dresden, Germany; Department of Psychiatry, Massachusetts General Hospital, Boston, MA USA; MGH/MIT/HMS Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA USA. Electronic address: transden.lab@uniklinikum-dresden.de.
Mind Research Network · USTechnische Universität Dresden · DEMassachusetts General Hospital · USLeipzig University · DEUniversity of Cologne · DEUniversity of Minnesota · US

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
FUNCTION BIRNU24RR021992 · NCRR · UNIVERSITY OF CALIFORNIA-IRVINE · PI POTKIN, STEVEN G · 2006 to 2010
$25.0M
MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI HAMALAINEN, MATTI · 1999 to 2011
$16.4M
Transcranial Direct Current Stimulation for Treatment of Auditory Verbal HalluciP20GM103472 · NIGMS · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2012 to 2017
$14.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
NEURAL MECHANISMS OF SCHIZOPHRENIAP20RR021938 · NCRR · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2008 to 2011
$9.4M
Mining the Genomewide Scan: Genetic Profiles of Structural Loss in Schizophrenia: AD/ADRD supplementR01MH094524 · NIMH · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D, TURNER, JESS · 2012 to 2021
$6.3M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Multi-group semi-blind ICA of fMRIR01EB000840 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2003 to 2011
$3.2M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
NCRR NIH HHS 1U24 RR021382ANCRR NIH HHS 5P20RR021938NCRR NIH HHS MO1 RR025758-01NCRR NIH HHS P20 RR021938NCRR NIH HHS P41 RR014075NCRR NIH HHS P41RR14075NCRR NIH HHS U24 RR021382NCRR NIH HHS U24 RR021992NCRR NIH HHS U24RR021992-01NCRR NIH HHS UL1 RR025758NIBIB NIH HHS 2R01EB000840NIBIB NIH HHS R01 EB000840NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM103472NIGMS NIH HHS P20GM103472NIMH NIH HHS R01 MH094524
6 · The paper itself

Abstract

Multiple genetic approaches have identified microRNAs as key effectors in psychiatric disorders as they post-transcriptionally regulate expression of thousands of target genes. However, their role in specific psychiatric diseases remains poorly understood. In addition, epigenetic mechanisms such as DNA methylation, which affect the expression of both microRNAs and coding genes, are critical for our understanding of molecular mechanisms in schizophrenia. Using clinical, imaging, genetic, and epigenetic data of 103 patients with schizophrenia and 111 healthy controls of the Mind Clinical Imaging Consortium (MCIC) study of schizophrenia, we conducted gene set enrichment analysis to identify markers for schizophrenia-associated intermediate phenotypes. Genes were ranked based on the correlation between DNA methylation patterns and each phenotype, and then searched for enrichment in 221 predicted microRNA target gene sets. We found the predicted hsa-miR-219a-5p target gene set to be significantly enriched for genes (EPHA4, PKNOX1, ESR1, among others) whose methylation status is correlated with hippocampal volume independent of disease status. Our results were strengthened by significant associations between hsa-miR-219a-5p target gene methylation patterns and hippocampus-related neuropsychological variables. IPA pathway analysis of the respective predicted hsa-miR-219a-5p target genes revealed associated network functions in behavior and developmental disorders. Altered methylation patterns of predicted hsa-miR-219a-5p target genes are associated with a structural aberration of the brain that has been proposed as a possible biomarker for schizophrenia. The (dys)regulation of microRNA target genes by epigenetic mechanisms may confer additional risk for developing psychiatric symptoms. Further study is needed to understand possible interactions between microRNAs and epigenetic changes and their impact on risk for brain-based disorders such as schizophrenia.

Indexed as

Epigenesis, GeneticAdultDatabases, FactualDNA MethylationFemaleGene Expression ProfilingGenetic Association StudiesHippocampusHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMental Status ScheduleMicroRNAsMiddle AgedOxygenMicroRNAsOxygenDNA methylationGSEAIntermediate phenotypeMicroRNA targetsSchizophrenia

Identifiers

PMID25598502
PMCPMC4346504
OpenAlexW1995814171

What Socratic holds

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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 Socratic graph.