Evidence map›Paper›PMID 23894363›Full record

ArticlePloS one2013

Whole brain and brain regional coexpression network interactions associated with predisposition to alcohol consumption.

Lauren A Vanderlinden, Laura M Saba, Katerina Kechris, Michael F Miles, Paula L Hoffman, Boris Tabakoff

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Genetic Architecture and Molecular Neuropathology of Human Cocaine Addiction.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020
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  12. Review
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  16. ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients.Communications for statistical applications and methods · 2015
    Article
  17. Article
  18. GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  19. Article
  20. Influence of sex on genetic regulation of "drinking in the dark" alcohol consumption.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    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

6 authors.

Lauren A VanderlindenDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Laura M Saba
Katerina Kechris
Michael F Miles
Paula L Hoffman
Boris Tabakoff

Funding

The Heritable Transcriptome and AlcoholismR24AA013162 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HOFFMAN, PAULA, SABA, LAURA MAREN · 2001 to 2021
$14.2M
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
Regulation of alcohol consumption by chromatin modificationU01AA016649 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI HOFFMAN, PAULA, TABAKOFF, BORIS · 2006 to 2013
$2.4M
Colorado Gene Array CoreU01AA016663 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI TABAKOFF, BORIS · 2006 to 2010
$2.2M
Project 3: Cross Species Characterization of Gene Networks in Acute ResponsesP20AA017828 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BETTINGER, JILL C · 2009 to 2012
$2.2M
Cross-species genetic analysis of ethanol-related behaviorR01AA020634 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI GROTEWIEL, MICHAEL S., MILES, MICHAEL F · 2012 to 2016
$1.3M
Genomic regulatory sequence analysis for alcohol-related phenotypesK01AA016922 · NIAAA · UNIVERSITY OF COLORADO DENVER · PI KECHRIS-MAYS, KATHERINA · 2007 to 2011
$737k
NIAAA NIH HHS K01 AA016922NIAAA NIH HHS K01AA016922NIAAA NIH HHS P20 AA017828NIAAA NIH HHS P20AA017828NIAAA NIH HHS R01 AA020634NIAAA NIH HHS R24 AA013162NIAAA NIH HHS R24AA013162NIAAA NIH HHS U01 AA016649NIAAA NIH HHS U01AA016649NIAAA NIH HHS U01 AA016663NIAAA NIH HHS U01AA016663NIAAA NIH HHS U01 AA016667NIAAA NIH HHS U01AA016667
6 · The paper itself

Abstract

To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used weighted gene coexpression network analysis (WGCNA). Candidate coexpression modules are those with an eigengene expression level that correlates significantly with the level of alcohol consumption across a panel of BXD recombinant inbred mouse strains, and that share a genomic region that regulates the module transcript expression levels (mQTL) with a genomic region that regulates alcohol consumption (bQTL). To address a controversy regarding utility of gene expression profiles from whole brain, vs specific brain regions, as indicators of the relationship of gene expression to phenotype, we compared candidate coexpression modules from whole brain gene expression data (gathered with Affymetrix 430 v2 arrays in the Colorado laboratories) and from gene expression data from 6 brain regions (nucleus accumbens (NA); prefrontal cortex (PFC); ventral tegmental area (VTA); striatum (ST); hippocampus (HP); cerebellum (CB)) available from GeneNetwork. The candidate modules were used to construct candidate eigengene networks across brain regions, resulting in three "meta-modules", composed of candidate modules from two or more brain regions (NA, PFC, ST, VTA) and whole brain. To mitigate the potential influence of chromosomal location of transcripts and cis-eQTLs in linkage disequilibrium, we calculated a semi-partial correlation of the transcripts in the meta-modules with alcohol consumption conditional on the transcripts' cis-eQTLs. The function of transcripts that retained the correlation with the phenotype after correction for the strong genetic influence, implicates processes of protein metabolism in the ER and Golgi as influencing susceptibility to variation in alcohol consumption. Integration of these data with human GWAS provides further information on the function of polymorphisms associated with alcohol-related traits.

Indexed as

BrainGenetic Predisposition to DiseaseAlcohol DrinkingAnimalsFemaleGene Expression ProfilingGene Regulatory NetworksMaleMiceMice, Inbred StrainsModels, GeneticQuantitative Trait Loci

Identifiers

PMID23894363
PMCPMC3720886

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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.