Evidence map›Paper›PMID 23134042›Full record

ArticleAlcohol research : current reviews2012

Assessing the genetic risk for alcohol use disorders.

Tatiana Foroud, Tamara J Phillips

Abstract readEditorial
In one paragraph

Article in Alcohol research : current reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Proteomic approaches and identification of novel therapeutic targets for alcoholism.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    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

2 authors.

Tatiana ForoudDepartment of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana.
Tamara J Phillips

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Suzanne S. Fei · 2006 to 2026
$34.5M
NIAAA NIH HHS P60 AA010760
6 · The paper itself

Abstract

The past two decades have witnessed a revolution in the field of genetics which has led to a rapid evolution in the tools and techniques available for mapping genes that contribute to genetically complex disorders such as alcohol dependence. Research in humans and in animal models of human disease has provided important new information. Among the most commonly applied approaches used in human studies are family studies, case-control studies, and genome-wide association studies. Animal models have been aimed at identifying genetic regions or individual genes involved in different aspects of alcoholism, using such approaches as quantitative trait locus analysis, genome sequencing, knockout animals, and other sophisticated molecular genetic techniques. All of these approaches have led to the identification of several genes that seem to influence the risk for alcohol dependence, which are being further analyzed. Newer studies, however, also are attempting to look at the genetic basis of alcoholism at the level of the entire genome, moving beyond the study of individual genes toward analyses of gene interactions and gene networks in the development of this devastating disease.

Indexed as

AlcoholismGenome-Wide Association StudyAlcoholsAnimalsCase-Control StudiesDisease Models, AnimalGenetic Predisposition to DiseaseHumansQuantitative Trait LociAlcohols

Identifiers

PMID23134042
PMCPMC3860406

What OpenQuestion holds

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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.