Evidence map›Paper›PMID 21910077›Full record

ReviewCurrent topics in behavioral neurosciences2013

Modeling the diagnostic criteria for alcohol dependence with genetic animal models.

John C Crabbe, Kenneth S Kendler, Robert J Hitzemann

Abstract readReview
In one paragraph

Review in Current topics in behavioral neurosciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  7. Review
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  9. Discovery of a Role forFrontiers in neuroscience · 2020
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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

3 authors.

John C CrabbePortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University, Portland, OR 97239, USA. crabbe@ohsu.edu
Kenneth S Kendler
Robert J Hitzemann

Funding

Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Suzanne S. Fei · 2006 to 2026
$34.5M
Selective Breeding for Drinking in the Circadian DarkU01AA013519 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Angela Renee Ozburn · 2001 to 2026
$10.9M
THERMAL AND METABOLIC DYSFUNCTION DURING WITHDRAWALP50AA010760 · NIAAA · OREGON HEALTH AND SCIENCE UNIVERSITY · PI CRABBE, JOHN C. · 1996 to 2005
$10.7M
An Alcohol Affected Sib Pair Study of Alcohol DependenceR37AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2007 to 2016
$6.5M
Neurocircuitry Mapping and Genotyping CoreU01AA013484 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HITZEMANN, ROBERT J. · 2001 to 2021
$6.2M
Mapping the Genes for Ethanol-Related PhenotypesR01AA011034 · NIAAA · STATE UNIVERSITY NEW YORK STONY BROOK · PI HITZEMANN, ROBERT J. · 1996 to 2014
$5.1M
IRISH AFFECTED SIB PAIR STUDY OF ALCOHOL DEPENDENCER01AA011408 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 1997 to 2005
$3.4M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN, MILES, MICHAEL F · 2009 to 2012
$2.2M
NIAAA NIH HHS AA017828NIAAA NIH HHS AA10760NIAAA NIH HHS AA 11034NIAAA NIH HHS AA11408NIAAA NIH HHS AA 13484NIAAA NIH HHS AA13519NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P50 AA010760NIAAA NIH HHS P60 AA010760NIAAA NIH HHS R01 AA011034NIAAA NIH HHS R01 AA011408NIAAA NIH HHS R37 AA011408NIAAA NIH HHS U01 AA013484NIAAA NIH HHS U01 AA013519
6 · The paper itself

Abstract

A diagnosis of alcohol dependence (AD) using the DSM-IV-R is categorical, based on an individual's manifestation of three or more symptoms from a list of seven. AD risk can be traced to both genetic and environmental sources. Most genetic studies of AD risk implicitly assume that an AD diagnosis represents a single underlying genetic factor. We recently found that the criteria for an AD diagnosis represent three somewhat distinct genetic paths to individual risk. Specifically, heavy use and tolerance versus withdrawal and continued use despite problems reflected separate genetic factors. However, some data suggest that genetic risk for AD is adequately described with a single underlying genetic risk factor. Rodent animal models for alcohol-related phenotypes typically target discrete aspects of the complex human AD diagnosis. Here, we review the literature derived from genetic animal models in an attempt to determine whether they support a single-factor or multiple-factor genetic structure. We conclude that there is modest support in the animal literature that alcohol tolerance and withdrawal reflect distinct genetic risk factors, in agreement with our human data. We suggest areas where more research could clarify this attempt to align the rodent and human data.

Indexed as

Disease Models, AnimalGenetic Predisposition to DiseaseAlcohol-Related DisordersAnimalsHumans

Identifiers

PMID21910077
PMCPMC3371181

What OpenQuestion holds

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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.