Evidence map›Paper›PMID 17033615›Full record

ArticleThe pharmacogenomics journal2007

Candidate genes, pathways and mechanisms for alcoholism: an expanded convergent functional genomics approach.

Z A Rodd, B A Bertsch, W N Strother, H Le-Niculescu, Y Balaraman, E Hayden, R E Jerome, L Lumeng, J I Nurnberger, H J Edenberg and 2 more

Abstract read
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In one paragraph

Article in The pharmacogenomics journal, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

48 citing papers in PubMed, 98 citations in OpenAlex.

  1. Variation of Myelin-associated Gene Expression andbioRxiv : the preprint server for biology · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Genetics of Alcohol Use Disorder: A Role for Induced Pluripotent Stem Cells?Alcoholism, clinical and experimental research · 2018
    Review
  10. Examining the effects of alcohol on GABAAlcohol (Fayetteville, N.Y.) · 2018
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Proteomic approaches and identification of novel therapeutic targets for alcoholism.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
    Review
  18. Article
  19. Article
  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

12 authors at 2 institutions in 1 country.

Z A RoddDepartment of Psychiatry, Institute of Psychiatric Research, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
B A Bertsch
W N Strother
H Le-Niculescu
Y Balaraman
E Hayden
R E Jerome
L Lumeng
J I Nurnberger
H J Edenberg
W J McBride
A B Niculescu
Indiana University – Purdue University Indianapolis · USIndiana University School of Medicine

Funding

Translational Research and Science Education (OUT)P60AA007611 · NIAAA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI Marian Lee Logrip · 2003 to 2026
$45.5M
Texas Gene Array CoreU01AA013518 · NIAAA · UNIVERSITY OF TEXAS AUSTIN · PI HARRIS, ROBERT A · 2001 to 2010
$4.4M
NIAAA NIH HHS P60AA007611NIAAA NIH HHS U01AA013518
6 · The paper itself

Abstract

We describe a comprehensive translational approach for identifying candidate genes for alcoholism. The approach relies on the cross-matching of animal model brain gene expression data with human genetic linkage data, as well as human tissue data and biological roles data, an approach termed convergent functional genomics. An analysis of three animal model paradigms, based on inbred alcohol-preferring (iP) and alcohol-non-preferring (iNP) rats, and their response to treatments with alcohol, was used. A comprehensive analysis of microarray gene expression data from five key brain regions (frontal cortex, amygdala, caudate-putamen, nucleus accumbens and hippocampus) was carried out. The Bayesian-like integration of multiple independent lines of evidence, each by itself lacking sufficient discriminatory power, led to the identification of high probability candidate genes, pathways and mechanisms for alcoholism. These data reveal that alcohol has pleiotropic effects on multiple systems, which may explain the diverse neuropsychiatric and medical pathology in alcoholism. Some of the pathways identified suggest avenues for pharmacotherapy of alcoholism with existing agents, such as angiotensin-converting enzyme (ACE) inhibitors. Experiments we carried out in alcohol-preferring rats with an ACE inhibitor show a marked modulation of alcohol intake. Other pathways are new potential targets for drug development. The emergent overall picture is that physical and physiological robustness may permit alcohol-preferring individuals to withstand the aversive effects of alcohol. In conjunction with a higher reactivity to its rewarding effects, they may able to ingest enough of this nonspecific drug for a strong hedonic and addictive effect to occur.

Indexed as

Alcohol DrinkingAlcoholismAngiotensin-Converting Enzyme InhibitorsAnimalsBayes TheoremBehavior, AnimalBrainCentral Nervous System DepressantsCluster AnalysisDatabases, GeneticEthanolGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseGenomicsHumansAngiotensin-Converting Enzyme InhibitorsCentral Nervous System DepressantsEthanolLisinopril

Identifiers

PMID17033615
OpenAlexW2041893385

What OpenQuestion holds

Textmetadata
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.