Evidence map›Paper›PMID 24091936›Full record

ReviewCurrent psychiatry reports2013

Genetic influences on the development of alcoholism.

Mary-Anne Enoch

Open access · greenAbstract readReview
In one paragraph

Review in Current psychiatry reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
6.2field-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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
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  11. Synaptic Regulation by OPRM1 Variants in Reward Neurocircuitry.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  12. Genetics of alcohol use disorder: a review.Current opinion in psychology · 2019
    Review
  13. Article
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  16. Review
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  18. Review
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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

1 author at 1 institution in 1 country.

Mary-Anne EnochLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, 20892, USA, maenoch@niaaa.nih.gov.
National Institute on Alcohol Abuse and Alcoholism · US

Funding

Gene-Environment Interations Underlying Alcoholism Vulnerability DisordersZIAAA000306 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2016
$839k
Intramural NIH HHS ZIA AA000306
6 · The paper itself

Abstract

Alcoholism has a substantial heritability yet the detection of specific genetic influences has largely proved elusive. The strongest findings are with genes encoding alcohol metabolizing enzymes. A few candidate genes such as GABRA2 have shown robust associations with alcoholism. Moreover, it has become apparent that variants in stress-related genes such as CRHR1, may only confer risk in individuals exposed to trauma, particularly in early life. Over the past decade there have been tremendous advances in large scale SNP genotyping technologies allowing for genome-wide associations studies (GWAS). As a result, it is now recognized that genetic risk for alcoholism is likely to be due to common variants in very many genes, each of small effect, although rare variants with large effects might also play a role. This has resulted in a paradigm shift away from gene centric studies toward analyses of gene interactions and gene networks within biologically relevant pathways.

Indexed as

Genetic Predisposition to DiseaseAlcoholismGene-Environment InteractionGenetic LinkageHumansPolymorphism, Single Nucleotide

Identifiers

PMID24091936
PMCPMC4159132
OpenAlexW2030538260

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.