Evidence map›Paper›PMID 28118990›Full record

ReviewNeuropharmacology2017

Genetic studies of alcohol dependence in the context of the addiction cycle.

Matthew T Reilly, Antonio Noronha, David Goldman, George F Koob

Abstract readReview
In one paragraph

Review in Neuropharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 1 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

70 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Epigenetic regulation ofFrontiers in psychiatry · 2025
    Article
  15. Article
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  17. Article
  18. Article
  19. Article
  20. DNA Methylation in Alcohol Use Disorder.International journal of molecular sciences · 2023
    Review

10 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

4 authors.

Matthew T ReillyNational Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Division of Neuroscience and Behavior, 5635 Fishers Lane, Bethesda, MD 20852, USA. Electronic address: reillymt@mail.nih.gov.
Antonio NoronhaNational Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Division of Neuroscience and Behavior, 5635 Fishers Lane, Bethesda, MD 20852, USA.
David GoldmanNational Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Chief, Laboratory of Neurogenetics, 5635 Fishers Lane, Bethesda, MD 20852, USA.
George F KoobNational Institutes of Health (NIH), National Institute on Alcohol Abuse and Alcoholism (NIAAA), Director NIAAA, 5635 Fishers Lane, Bethesda, MD 20852, USA.

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
NIAAA Repository/Screening Database Management and ResearchZIAAA000130 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI SCHWANDT, MELANIE · 2017 to 2025
$60.1M
Neurobiology of AddictionZICDA000602 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI KOOB, GEORGE · 2015 to 2018
$5.4M
Intermediate Phenotypes for Alcoholism &AnxietyZ01AA000280 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 1990 to 2008
$491k
Intramural NIH HHS Z01 AA000280
6 · The paper itself

Abstract

Family, twin and adoption studies demonstrate clearly that alcohol dependence and alcohol use disorders are phenotypically complex and heritable. The heritability of alcohol use disorders is estimated at approximately 50-60% of the total phenotypic variability. Vulnerability to alcohol use disorders can be due to multiple genetic or environmental factors or their interaction which gives rise to extensive and daunting heterogeneity. This heterogeneity makes it a significant challenge in mapping and identifying the specific genes that influence alcohol use disorders. Genetic linkage and (candidate gene) association studies have been used now for decades to map and characterize genomic loci and genes that underlie the genetic vulnerability to alcohol use disorders. These approaches have been moderately successful in identifying several genes that contribute to the complexity of alcohol use disorders. Recently, genome-wide association studies have become one of the major tools for identifying genes for alcohol use disorders by examining correlations between millions of common single-nucleotide polymorphisms with diagnosis status. Genome-wide association studies are just beginning to uncover novel biology; however, the functional significance of results remains a matter of extensive debate and uncertainty. In this review, we present a select group of genome-wide association studies of alcohol dependence, as one example of a way to generate functional hypotheses, within the addiction cycle framework. This analysis may provide novel directions for validating the functional significance of alcohol dependence candidate genes. This article is part of the Special Issue entitled "Alcoholism".

Indexed as

AlcoholismBehavior, AddictiveGene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAddiction cycleAlcohol dependenceAlcohol use disorderGenetic mappingGeneticsGenome-wide association study

Identifiers

PMID28118990
PMCPMC6233301

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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.