Evidence map›Paper›PMID 26763658›Full record

ArticleScientific reports2016

DNA co-methylation modules in postmortem prefrontal cortex tissues of European Australians with alcohol use disorders.

Fan Wang, Hongqin Xu, Hongyu Zhao, Joel Gelernter, Huiping Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 79 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Human genetics and epigenetics of alcohol use disorder.The Journal of clinical investigation · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. DNA Methylation in Alcohol Use Disorder.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Epigenome-wide association study of alcohol use disorder in five brain regions.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Fan WangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Hongqin XuDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Hongyu ZhaoDepartment of Genetics, Yale University School of Medicine, New Haven, CT, USA.
Joel GelernterDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Huiping ZhangDepartment of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
Yale University · USVA Connecticut Healthcare System · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Yale Pathology Tissue Services Shared ResourceP30CA016359 · NCI · YALE UNIVERSITY · PI DAVID L RIMM · 1985 to 2026
$85.0M
Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
Brain Tissue Resource Centre for Alcohol ResearchR28AA012725 · NIAAA · UNIVERSITY OF SYDNEY · PI Greg Trevor Sutherland · 2012 to 2026
$7.0M
Association and Function of Opioid Receptor Gene Variants to Substance DependenceR00DA022891 · NIDA · YALE UNIVERSITY · PI ZHANG, HUIPING · 2009 to 2011
$792k
Salivary MicroRNAs as Biomarkers for Alcohol DependenceR21AA023068 · NIAAA · YALE UNIVERSITY · PI ZHANG, HUIPING · 2015 to 2016
$344k
Association and Function of Opioid Receptor Gene Variants to Substance DependenceK99DA022891 · NIDA · YALE UNIVERSITY · PI ZHANG, HUIPING · 2007 to 2008
$176k
NCATS NIH HHS UL1 TR001863NCI NIH HHS P30 CA016359NIAAA NIH HHS P50 AA012870NIAAA NIH HHS P50 AA12870NIAAA NIH HHS R21 AA023068NIAAA NIH HHS R28 AA012725NIDA NIH HHS K99 DA022891NIDA NIH HHS K99/R00 DA022891NIDA NIH HHS R00 DA022891
6 · The paper itself

Abstract

DNA methylome alterations in the prefrontal cortex (PFC) may contribute to risk for alcohol use disorders (AUDs). We examined postmortem PFC DNA methylomes of 16 male and seven female pairs of AUD and control subjects using Illumina's HumanMethylation450 BeadChip assays. In male AUD subjects, 1,812 CpGs (1,099 genes) were differentially methylated (9.5 × 10(-9) ≤ Pnominal ≤ 7.2 × 10(-4), q < 0.05). In females, no CpGs were associated with AUDs after multiple testing correction (q > 0.05). Twenty-one AUD-associated co-methylation modules were identified in males by co-methylation analysis. The 1,812 CpGs were over-presented by two AUD-associated co-methylation modules (Mturquoise: 1,048 CpGs/683 genes; Mblue: 429 CpGs/304 genes) (Phyper ≤ 0.001). Biological processes enriched for genes in these two modules included neural development and transcriptional regulation. Genes mapped by CpGs in these two modules were enriched in genome-wide association study-identified genes with variants associated with four substance dependence phenotypes or five psychiatric disorders. Additionally, 106 of the 1,812 CpGs were mapped to 93 genes (e.g., AUD-associated genes GRIK3, GRIN2C, and GABRA1) with differential expression in postmortem PFC of male AUD subjects. Our study demonstrates that DNA methylation alterations in the PFC are associated with (and might result in) increased risk of AUDs, and there was a complex DNA methylation-gene expression relationship.

Indexed as

DNA MethylationAlcohol-Induced DisordersAutopsyChromosome MappingCluster AnalysisCpG IslandsFemaleGene Expression ProfilingGenome-Wide Association StudyHumansMalePrefrontal CortexSex FactorsTranscription, GeneticWhite People

Identifiers

PMID26763658
PMCPMC4725922
OpenAlexW2409492992

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.