Evidence map›Paper›PMID 22032291›Full record

ArticleGenes, brain, and behavior2012

Genome-wide association for methamphetamine sensitivity in an advanced intercross mouse line.

C C Parker, R Cheng, G Sokoloff, A A Palmer

Open access · greenAbstract read
In one paragraph

Article in Genes, brain, and behavior, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  9. Article
  10. Review
  11. Heterogeneous Stock Populations for Analysis of Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Fine-mapping QTLs in advanced intercross lines and other outbred populations.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    Review
  19. Review
  20. Out of the bottleneck: the Diversity Outcross and Collaborative Cross mouse populations in behavioral genetics research.Mammalian genome : official journal of the International Mammalian Genome Society · 2014
    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

4 authors at 1 institution in 1 country.

C C ParkerDepartment of Human Genetics, The University of Chicago, IL 60637, USA.
R Cheng
G Sokoloff
A A Palmer
University of Chicago · US

Funding

NEUROPSYCHOPHARMACOLOLGY TRG FOR DRUG ABUSE RESEARCHT32DA007255 · NIDA · UNIVERSITY OF CHICAGO · PI VEZINA, PAUL R · 1991 to 2012
$5.9M
Systems Genetic Analysis of Methamphetamine's Motivational Effects in a Mouse AILR01DA021336 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2006 to 2015
$4.0M
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
FINDING GENES THAT CAUSE QLT FOR FEAR LEARNING AND ANXIETYR01MH079103 · NIMH · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2007 to 2011
$1.9M
Weighted genome-wide association study of amphetamine sensitivity in humansR03DA027545 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2009 to 2010
$466k
Novel Methods to Map Stimulant QTLs in Advanced Intercross LinesR21DA024845 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2008 to 2009
$422k
NIAAA NIH HHS U01AA016667NIDA NIH HHS DA021336NIDA NIH HHS DA024845NIDA NIH HHS DA07255NIDA NIH HHS R01 DA021336NIDA NIH HHS R03 DA027545NIDA NIH HHS R21 DA024845NIDA NIH HHS T32 DA007255NIMH NIH HHS MH079103NIMH NIH HHS R01 MH079103
6 · The paper itself

Abstract

Sensitivity to the locomotor stimulant effects of methamphetamine (MA) is a heritable trait that utilizes neurocircuitry also associated with the rewarding effects of drugs. We used the power of a C57BL/6J × DBA/2J F(2) intercross (n = 676) and the precision of a C57BL/6J × DBA/2J F(8) advanced intercross line (Aap: B6, D2-G8; or F(8) AIL; n = 552) to identify and narrow quantitative trait loci (QTLs) associated with sensitivity to the locomotor stimulant effects of MA. We used the program QTLRel to simultaneously map QTL in the F(2) and F(8) AIL mice. We identified six genome-wide significant QTLs associated with locomotor activity at baseline and seven genome-wide significant QTLs associated with MA-induced locomotor activation. The average per cent decrease in QTL width between the F(2) and the integrated analysis was 65%. Additionally, these QTLs showed a distinct temporal specificity within each session that allowed us to further refine their locations, and identify one QTL with a 1.8-LOD support interval of 1.47 Mb. Next, we utilized publicly available bioinformatics resources to exploit strain-specific sequence data and strain- and region-specific expression data to identify candidate genes. These results illustrate the power of AILs in conjunction with sequence and gene expression data to investigate the genetic underpinnings of behavioral and other traits.

Indexed as

Chromosome MappingAnimalsBehavior, AnimalCentral Nervous System StimulantsComputational BiologyCrosses, GeneticDatabases, GeneticFemaleGene Expression RegulationGenetics, BehavioralGenome-Wide Association StudyInbreedingMaleMethamphetamineMiceMice, Inbred C57BLCentral Nervous System StimulantsMethamphetamine

Identifiers

PMID22032291
PMCPMC3368015
OpenAlexW2103997109

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.