Evidence map›Paper›PMID 34677900›Full record

ArticleGenes, brain, and behavior2021

A quantitative trait variant in Gabra2 underlies increased methamphetamine stimulant sensitivity.

Lisa R Goldberg, Emily J Yao, Julia C Kelliher, Eric R Reed, Jiayi Wu Cox, Cory Parks, Stacey L Kirkpatrick, Jacob A Beierle, Melanie M Chen, William E Johnson and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Genes, brain, and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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  4. bioRxiv : the preprint server for biology · 2024
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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

14 authors at 5 institutions in 2 countries.

Lisa R GoldbergLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.ORCID 0000-0002-7244-7018
Emily J YaoLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.
Julia C KelliherLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.
Eric R ReedPh.D. Program in Bioinformatics, Boston University, Boston, Massachusetts, USA.
Jiayi Wu CoxProgram in Biomedical Sciences, Graduate Program in Genetics and Genomics, Boston University School of Medicine, Boston, Massachusetts, USA.
Cory ParksDepartment of Agricultural, Biology, and Health Sciences, Cameron University, Lawton, Oklahoma, USA.
Stacey L KirkpatrickLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.
Jacob A BeierleLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.
Melanie M ChenLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.
William E JohnsonDepartment of Medicine, Computational Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Gregg E HomanicsDepartments of Anesthesiology, Neurobiology, and Pharmacology and Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-3641-8153
Robert W WilliamsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Camron D BryantLaboratory of Addiction Genetics, Department of Pharmacology and Experimental Therapeutics and Psychiatry, Boston, Massachusetts, USA.ORCID 0000-0003-4505-5809
Megan K MulliganDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, Tennessee, USA.ORCID 0000-0003-4909-635X
Boston University · USLaboratory of Molecular Genetics · PLUniversity of Tennessee Health Science Center · USCameron University · USUniversity of Pittsburgh · US

Funding

Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
A Reduced Complexity Cross in BALB/c substrains to identify the genetic basis of oxycodone dependence phenotypesU01DA050243 · NIDA · NORTHEASTERN UNIVERSITY · PI BRYANT, CAMRON D, ZACHARIOU, VENETIA · 2020 to 2023
$3.3M
Bridging genetic variation with behavior: Molecular and functional mechanisms of quantitative trait gene regulation of the stimulant and addictive properties of methamphetamine in miceR01DA039168 · NIDA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BRYANT, CAMRON D · 2015 to 2019
$3.0M
INIA-STRESS: Informatics and Analysis CoreU01AA016662 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI WILLIAMS, ROBERT W. · 2007 to 2016
$2.9M
Genetic basis of binge eating and its motivational components in a reduced complexity crossR21DA038738 · NIDA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BRYANT, CAMRON D · 2015 to 2016
$463k
Mapping G x E Interactions for Addiction Traits in a Reduced Complexity CrossR03DA038287 · NIDA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BRYANT, CAMRON D · 2014 to 2015
$174k
NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA016662NIDA NIH HHS R01 DA039168NIDA NIH HHS R03 DA038287NIDA NIH HHS R21 DA038738NIDA NIH HHS U01 DA050243
6 · The paper itself

Abstract

Psychostimulant (methamphetamine, cocaine) use disorders have a genetic component that remains mostly unknown. We conducted genome-wide quantitative trait locus (QTL) analysis of methamphetamine stimulant sensitivity. To facilitate gene identification, we employed a Reduced Complexity Cross between closely related C57BL/6 mouse substrains and examined maximum speed and distance traveled over 30 min following methamphetamine (2 mg/kg, i.p.). For maximum methamphetamine-induced speed following the second and third administration, we identified a single genome-wide significant QTL on chromosome 11 that peaked near the Cyfip2 locus (LOD = 3.5, 4.2; peak = 21 cM [36 Mb]). For methamphetamine-induced distance traveled following the first and second administration, we identified a genome-wide significant QTL on chromosome 5 that peaked near a functional intronic indel in Gabra2 coding for the alpha-2 subunit of the GABA-A receptor (LOD = 3.6-5.2; peak = 34-35 cM [66-67 Mb]). Striatal cis-expression QTL mapping corroborated Gabra2 as a functional candidate gene underlying methamphetamine-induced distance traveled. CRISPR/Cas9-mediated correction of the mutant intronic deletion on the C57BL/6J background to the wild-type C57BL/6NJ allele was sufficient to reduce methamphetamine-induced locomotor activity toward the wild-type C57BL/6NJ-like level, thus validating the quantitative trait variant (QTV). These studies show the power and efficiency of Reduced Complexity Crosses in identifying causal variants underlying complex traits. Functionally restoring Gabra2 expression decreased methamphetamine stimulant sensitivity and supports preclinical and human genetic studies implicating the GABA-A receptor in psychostimulant addiction-relevant traits. Importantly, our findings have major implications for studying psychostimulants in the C57BL/6J strain-the gold standard strain in biomedical research.

Indexed as

Quantitative Trait LociAmphetamine-Related DisordersAnimalsCentral Nervous System StimulantsFemaleGenetic Predisposition to DiseaseMaleMethamphetamineMiceMice, Inbred C57BLMutationQuantitative Trait, HeritableReceptors, GABA-ACentral Nervous System StimulantsGabra2 protein, mouseMethamphetamineReceptors, GABA-AaddictionamphetaminecocaineeQTLmethylphenidatepsychostimulantquantitative trait genequantitative trait nucleotidestimulant disorders

Identifiers

PMID34677900
PMCPMC9083095
OpenAlexW3205732236

What OpenQuestion holds

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LicenceCC BY
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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.