Evidence map›Paper›PMID 20813241›Full record

ReviewInternational review of neurobiology2010

Using expression genetics to study the neurobiology of ethanol and alcoholism.

Sean P Farris, Aaron R Wolen, Michael F Miles

Abstract readReview
In one paragraph

Review in International review of neurobiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Variation of Myelin-associated Gene Expression andbioRxiv : the preprint server for biology · 2025
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Applying the new genomics to alcohol dependence.Alcohol (Fayetteville, N.Y.) · 2015
    Review
  9. Article
  10. Article
  11. Article
  12. The genetics of gene expression in complex mouse crosses as a tool to study the molecular underpinnings of behavior traits.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Epigenetics-beyond the genome in alcoholism.Alcohol research : current reviews · 2012
    Article
  18. Assessing the genetic risk for alcohol use disorders.Alcohol research : current reviews · 2012
    Article
  19. Review
  20. Article
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 at 1 institution in 1 country.

Sean P FarrisDepartment of Pharmacology and Toxicology, Virginia Commonwealth University, Richmond, VA 23298, USA.
Aaron R Wolen
Michael F Miles
Virginia Commonwealth University · US

Funding

TRAINING IN THE PHARMACOLOGY OF ABUSED DRUGST32DA007027 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI William L. Dewey · 1985 to 2026
$14.7M
Research Training: Psychiatric &Statistical GeneticsT32MH020030 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI HERMINE H MAES, MICHAEL CHURTON NEALE · 1999 to 2026
$6.7M
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 RILEY, BRIEN P · 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
Microarray Analysis of Acute Ethanol Effects in BrainR01AA013678 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MILES, MICHAEL F. · 2001 to 2003
$1.1M
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 R01 AA013678NIAAA NIH HHS R01 AA014717NIAAA NIH HHS R01AA014717NIAAA NIH HHS U01 AA016662NIAAA NIH HHS U01AA016662NIAAA NIH HHS U01 AA016667NIAAA NIH HHS U01AA016667NIDA NIH HHS 5T32DA007027NIDA NIH HHS T32 DA007027NIMH NIH HHS MH-20030NIMH NIH HHS T32 MH020030
6 · The paper itself

Abstract

Recent simultaneous progress in human and animal model genetics and the advent of microarray whole genome expression profiling have produced prodigious data sets on genetic loci, potential candidate genes, and differential gene expression related to alcoholism and ethanol behaviors. Validated target genes or gene networks functioning in alcoholism are still of meager proportions. Genetical genomics, which combines genetic analysis of both traditional phenotypes and whole genome expression data, offers a potential methodology for characterizing brain gene networks functioning in alcoholism. This chapter will describe concepts, approaches, and recent findings in the field of genetical genomics as it applies to alcohol research.

Indexed as

AlcoholismBrainEthanolNeurobiologyAnimalsGene Expression ProfilingGenome-Wide Association StudyHumansOligonucleotide Array Sequence AnalysisEthanol

Identifiers

PMID20813241
PMCPMC3427772
OpenAlexW1513681147

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.