Evidence map›Paper›PMID 27128683›Full record

ArticleEpigenetics2016

Validation of differential GDAP1 DNA methylation in alcohol dependence and its potential function as a biomarker for disease severity and therapy outcome.

Christof Brückmann, Adriana Di Santo, Kathrin Nora Karle, Anil Batra, Vanessa Nieratschker

Open access · bronzeAbstract readValidation Study
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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Validation ofInternational journal of molecular sciences · 2025
    Article
  2. Article
  3. International journal of molecular sciences · 2025
    Article
  4. Biochemical Diagnosis in Substance and Non-substance Addiction.Advances in experimental medicine and biology · 2025
    Review
  5. Review
  6. Epigenetic regulation of the humanBiochemistry and biophysics reports · 2024
    Article
  7. Review
  8. Promoter Specific Methylation ofFrontiers in genetics · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Genome-wide and digital polymerase chain reaction epigenetic assessments of alcohol consumption.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Article
  15. Optimizing the chances of success in the search for epigenetic biomarkers: Embracing genetic variation.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2017
    Review
  16. Review
  17. Article
  18. Emerging Role of Epigenetic Mechanisms in Alcohol Addiction.Alcoholism, clinical and experimental research · 2017
    Review
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 1 institution in 1 country.

Christof Brückmanna Department of Psychiatry and Psychotherapy , University Hospital of Tuebingen , Tuebingen , Germany.
Adriana Di Santoa Department of Psychiatry and Psychotherapy , University Hospital of Tuebingen , Tuebingen , Germany.
Kathrin Nora Karlea Department of Psychiatry and Psychotherapy , University Hospital of Tuebingen , Tuebingen , Germany.
Anil Batrab Section for Addiction Medicine and Addiction Research, Department of Psychiatry and Psychotherapy, University Hospital of Tuebingen , Tuebingen , Germany.
Vanessa Nieratschkera Department of Psychiatry and Psychotherapy , University Hospital of Tuebingen , Tuebingen , Germany.
University of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alcohol dependence is a severe disorder contributing substantially to the global burden of disease. Despite the detrimental consequences of chronic alcohol abuse and dependence, effective prevention strategies as well as treatment options are largely missing to date. Accumulating evidence suggests that gene-environment interactions, including epigenetic mechanisms, play a role in the etiology of alcohol dependence. A recent epigenome-wide study reported widespread alterations of DNA methylation patterns in alcohol dependent patients compared to control individuals. In the present study, we validate and replicate one of the top findings from this previous investigation in an independent cohort: the hypomethylation of GDAP1 in patients. To our knowledge, this is the first independent replication of an epigenome-wide finding in alcohol dependence. Furthermore, the AUDIT as well as the GSI score were negatively associated with GDAP1 methylation and we found a trend toward a negative association between GDAP1 methylation and the years of alcohol dependency, pointing toward a potential role of GDAP1 hypomethylation as biomarker for disease severity. In addition, we show that the hypomethylation of GDAP1 in patients reverses during a short-term alcohol treatment program, suggesting that GDAP1 DNA methylation could also serve as a potential biomarker for treatment outcome. Our data add to the growing body of knowledge on epigenetic effects in alcohol dependence and support GDAP1 as a novel candidate gene implicated in this disorder. As the role of GDAP1 in alcohol dependence is unknown, this novel candidate gene should be followed up in future studies.

Indexed as

DNA MethylationAdultAlcoholismBiomarkersCase-Control StudiesEpigenesis, GeneticHumansMaleMiddle AgedNerve Tissue ProteinsTreatment OutcomeBiomarkersGDAP proteinNerve Tissue ProteinsAlcohol dependencebiomarkerdisease severityDNA methylationepigeneticsGDAP1replicationtreatment outcomevalidation

Identifiers

PMID27128683
PMCPMC4939915
OpenAlexW2342556589

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.