Evidence map›Paper›PMID 24923803›Full record

ArticleGenetics2014

Identification of a QTL in Mus musculus for alcohol preference, withdrawal, and Ap3m2 expression using integrative functional genomics and precision genetics.

Jason A Bubier, Jeremy J Jay, Christopher L Baker, Susan E Bergeson, Hiroshi Ohno, Pamela Metten, John C Crabbe, Elissa J Chesler

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Gene expression genetics of the striatum of Diversity Outbred mice.bioRxiv : the preprint server for biology · 2023
    Article
  5. Article
  6. Article
  7. Discovery of a Role forFrontiers in neuroscience · 2020
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Progress With Nonhuman Animal Models of Addiction.Journal of studies on alcohol and drugs · 2016
    Review
  14. GeneWeaver: finding consilience in heterogeneous cross-species functional genomics data.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  15. Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database.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

8 authors at 4 institutions in 2 countries.

Jason A BubierThe Jackson Laboratory, Bar Harbor, Maine 04609.
Jeremy J JayThe Jackson Laboratory, Bar Harbor, Maine 04609.
Christopher L BakerThe Jackson Laboratory, Bar Harbor, Maine 04609.
Susan E BergesonSouth Plains Alcohol and Addiction Research Center, Texas Tech University Health Sciences Center Lubbock, Texas 79430-6592.
Hiroshi OhnoRIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Kanagawa 230-0045, Japan.
Pamela MettenPortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University and Veterans Affairs Medical Center, Portland, Oregon 97239.
John C CrabbePortland Alcohol Research Center, Department of Behavioral Neuroscience, Oregon Health & Science University and Veterans Affairs Medical Center, Portland, Oregon 97239.
Elissa J CheslerThe Jackson Laboratory, Bar Harbor, Maine 04609 elissa.chesler@jax.org.ORCID http://orcid.org/0000-0002-5642-5062
Jackson Laboratory · USOregon Health & Science University · USRIKEN Center for Integrative Medical Sciences · JPTexas Tech University · US

Funding

Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Madeleine Joy Braun · 1985 to 2026
$61.9M
Translational measures of risk for excessive alcohol consumptionP60AA010760 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI TAMARA J. PHILLIPS · 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
Data Structures, Algorithms and Tools for Ontological DiscoveryR01AA018776 · NIAAA · JACKSON LABORATORY · PI CHESLER, ELISSA J · 2010 to 2019
$3.9M
Mouse Genetic Models for Alcohol ResearchR24AA020245 · NIAAA · OREGON HEALTH & SCIENCE UNIVERSITY · PI PHILLIPS, TAMARA J. · 2011 to 2020
$2.3M
Genetic Dissection of Quantitative Control of RecombinationF32GM101736 · NIGMS · JACKSON LABORATORY · PI BAKER, CHRISTOPHER LEE · 2012 to 2013
$71k
Genetic Models of AlcoholismI01BX000313 · VA · PORTLAND VA MEDICAL CENTER · PI CRABBE, JOHN C. · 2009 to 2019
–
BLRD VA I01 BX000313NCI NIH HHS P30 CA034196NIAAA NIH HHS P60 AA010760NIAAA NIH HHS P60 AA10760NIAAA NIH HHS R01 AA018776NIAAA NIH HHS R01 AA18776NIAAA NIH HHS R24 AA020245NIAAA NIH HHS U01 AA013519NIGMS NIH HHS F32 GM101736
6 · The paper itself

Abstract

Extensive genetic and genomic studies of the relationship between alcohol drinking preference and withdrawal severity have been performed using animal models. Data from multiple such publications and public data resources have been incorporated in the GeneWeaver database with >60,000 gene sets including 285 alcohol withdrawal and preference-related gene sets. Among these are evidence for positional candidates regulating these behaviors in overlapping quantitative trait loci (QTL) mapped in distinct mouse populations. Combinatorial integration of functional genomics experimental results revealed a single QTL positional candidate gene in one of the loci common to both preference and withdrawal. Functional validation studies in Ap3m2 knockout mice confirmed these relationships. Genetic validation involves confirming the existence of segregating polymorphisms that could account for the phenotypic effect. By exploiting recent advances in mouse genotyping, sequence, epigenetics, and phylogeny resources, we confirmed that Ap3m2 resides in an appropriately segregating genomic region. We have demonstrated genetic and alcohol-induced regulation of Ap3m2 expression. Although sequence analysis revealed no polymorphisms in the Ap3m2-coding region that could account for all phenotypic differences, there are several upstream SNPs that could. We have identified one of these to be an H3K4me3 site that exhibits strain differences in methylation. Thus, by making cross-species functional genomics readily computable we identified a common QTL candidate for two related bio-behavioral processes via functional evidence and demonstrate sufficiency of the genetic locus as a source of variation underlying two traits.

Indexed as

Quantitative Trait LociAdaptor Protein Complex 3Adaptor Protein Complex mu SubunitsAlcohol DrinkingAnimalsChromatin ImmunoprecipitationChromosome MappingComputational BiologyDatabases, GeneticDisease Models, AnimalFemaleGenomeGenomicsGenotyping TechniquesHigh-Throughput Nucleotide SequencingMaleAdaptor Protein Complex 3Adaptor Protein Complex mu SubunitsAp3m2 protein, mousebehavioral geneticscomplex traitsdata integration

Identifiers

PMID24923803
PMCPMC4125407
OpenAlexW2137398258

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.