Evidence map›Paper›PMID 21536129›Full record

ReviewNeurobiology of disease2012

Ethanol modulation of gene networks: implications for alcoholism.

Sean P Farris, Michael F Miles

Abstract readReview
In one paragraph

Review in Neurobiology of disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Translating Alcohol Research: Opportunities and Challenges.Alcohol research : current reviews · 2015
    Review
  8. Genetics of alcoholism.Current psychiatry reports · 2014
    Review
  9. Review
  10. Review
  11. Article
  12. Introduction to sequencing the brain transcriptome.International review of neurobiology · 2014
    Review
  13. Review
  14. Article
  15. Genes, behavior and next-generation RNA sequencing.Genes, brain, and behavior · 2013
    Review
  16. Article
  17. 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.

Sean P FarrisDepartment of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA 23298, USA.
Michael F Miles

Funding

INIA-STRESS: Informatics and Analysis CoreU01AA016662 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI WILLIAMS, ROBERT W. · 2007 to 2016
$2.9M
Of Mice and Primates: Gene Networks in Excessive Ethanol Consumption and AnxietyU01AA016667 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MILES, MICHAEL F · 2007 to 2016
$2.4M
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
Functional genomics of ethanol craving and naltrexoneR01AA014717 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MILES, MICHAEL F · 2004 to 2008
$1.6M
Long Non-Coding RNA Regulation of Alcohol Drinking BehaviorR00AA024836 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FARRIS, SEAN P · 2020 to 2022
$667k
Molecular Mechanisms of Ethanol-Responsive Myelin Gene ExpressionF31AA018615 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI FARRIS, SEAN P · 2010 to 2011
$80k
NIAAA NIH HHS F31 AA018615NIAAA NIH HHS F31AA018615NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P20AA017828NIAAA NIH HHS R00 AA024836NIAAA NIH HHS R01 AA014717NIAAA NIH HHS R01AA014717NIAAA NIH HHS U01 AA016662NIAAA NIH HHS U01AA016662NIAAA NIH HHS U01 AA016667NIAAA NIH HHS U01AA016667
6 · The paper itself

Abstract

Alcoholism is a complex disease caused by a confluence of environmental and genetic factors influencing multiple brain pathways to produce a variety of behavioral sequelae, including addiction. Genetic factors contribute to over 50% of the risk for alcoholism and recent evidence points to a large number of genes with small effect sizes as the likely molecular basis for this disease. Recent progress in genomics (microarrays or RNA-Seq) and genetics has led to the identification of a large number of potential candidate genes influencing ethanol behaviors or alcoholism itself. To organize this complex information, investigators have begun to focus on the contribution of gene networks, rather than individual genes, for various ethanol-induced behaviors in animal models or behavioral endophenotypes comprising alcoholism. This chapter reviews some of the methods used for constructing gene networks from genomic data and some of the recent progress made in applying such approaches to the study of the neurobiology of ethanol. We show that rapid technology development in gathering genomic data, together with sophisticated experimental design and a growing collection of analysis tools are producing novel insights for understanding the molecular basis of alcoholism and that such approaches promise new opportunities for therapeutic development.

Indexed as

Genetic Predisposition to DiseaseAlcoholismBrainEndophenotypesEthanolGene Expression ProfilingGene Regulatory NetworksHumansEthanol

Identifiers

PMID21536129
PMCPMC3158275

What OpenQuestion holds

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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.