Evidence map›Paper›PMID 40049657›Full record

ArticleGenes, brain, and behavior2025

Genetic Loci Influencing Cue-Reactivity in Heterogeneous Stock Rats.

Christopher P King, Apurva S Chitre, Joel D Leal-Gutiérrez, Jordan A Tripi, Alesa H Netzley, Aidan P Horvath, Alexander C Lamparelli, Anthony George, Connor Martin, Celine L St Pierre and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, brain, and behavior, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors.

Christopher P KingDepartment of Psychology, University at Buffalo, Buffalo, New York, USA.ORCID 0000-0002-6641-237X
Apurva S ChitreDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Joel D Leal-GutiérrezDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Jordan A TripiDepartment of Psychology, University at Buffalo, Buffalo, New York, USA.
Alesa H NetzleyDepartment of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Aidan P HorvathDepartment of Psychology, University of Michigan, Ann Arbor, Michigan, USA.
Alexander C LamparelliDepartment of Psychology, University at Buffalo, Buffalo, New York, USA.
Anthony GeorgeClinical and Research Institute on Addictions, Buffalo, New York, USA.
Connor MartinClinical and Research Institute on Addictions, Buffalo, New York, USA.
Celine L St PierreDepartment of Genetics, Washington University Saint Louis, St. Louis, Missouri, USA.
Thiago Missfeldt SanchesDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Hannah V BimschlegerDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Jianjun GaoDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Riyan ChengDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Khai-Minh NguyenDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Katie L HollDepartment of Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Oksana PolesskayaDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.
Keita IshiwariClinical and Research Institute on Addictions, Buffalo, New York, USA.
Hao ChenDepartment of Pharmacology, Addiction Science and Toxicology, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Terry E RobinsonDepartment of Psychology, University of Michigan, Ann Arbor, Michigan, USA.
Shelly B FlagelDepartment of Psychiatry, University of Michigan, Ann Arbor, Michigan, USA.
Leah C Solberg WoodsDepartment of Internal Medicine, Molecular Medicine, Center on Diabetes, Obesity and Metabolism, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0002-7943-798X
Abraham A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-3634-0747
Paul J MeyerDepartment of Psychology, University at Buffalo, Buffalo, New York, USA.

Funding

Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI RICHARDS, JERRY B · 2014 to 2023
$27.4M
RESEARCH TRAINING ON ALCOHOL ETIOLOGY AND TREATMENTT32AA007583 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Gregory G Homish, KENNETH E LEONARD · 2000 to 2026
$8.5M
DP30DA060810 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Abraham A Palmer · 2024 to 2026
$5.6M
Identification of genetic features of delay discounting using a heterogeneous stock rat modelU01DA046077 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI MITCHELL, SUZANNE H · 2018 to 2022
$2.5M
Nicotine amplification of behavioral and neural responses to alcohol cuesR01AA024112 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MEYER, PAUL J · 2016 to 2020
$1.8M
NIAAA NIH HHS R01 AA024112NIAAA NIH HHS R01AA024112NIAAA NIH HHS T32 AA007583NIAAA NIH HHS T32AA007583NIDA NIH HHS P30 DA060810NIDA NIH HHS P30DA060810NIDA NIH HHS P50 DA037844NIDA NIH HHS P50DA037844NIDA NIH HHS U01 DA046077NIDA NIH HHS U01DA046077
6 · The paper itself

Abstract

Addiction vulnerability is associated with the tendency to attribute incentive salience to reward predictive cues. Both addiction and the attribution of incentive salience are influenced by environmental and genetic factors. To characterize the genetic contributions to incentive salience attribution, we performed a genome-wide association study (GWAS) in a cohort of 1596 heterogeneous stock (HS) rats. Rats underwent a Pavlovian conditioned approach task that characterized the responses to food-associated stimuli ("cues"). Responses ranged from cue-directed "sign-tracking" behavior to food-cup directed "goal-tracking" behavior (12 measures, SNP heritability: 0.051-0.215). Next, rats performed novel operant responses for unrewarded presentations of the cue using the conditioned reinforcement procedure. GWAS identified 14 quantitative trait loci (QTLs) for 11 of the 12 traits across both tasks. Interval sizes of these QTLs varied widely. Seven traits shared a QTL on chromosome 1 that contained a few genes (e.g., Tenm4, Mir708) that have been associated with substance use disorders and other psychiatric disorders in humans. Other candidate genes (e.g., Wnt11, Pak1) in this region had coding variants and expression-QTLs in mesocorticolimbic regions of the brain. We also conducted a Phenome-Wide Association Study (PheWAS) on addiction-related behaviors in HS rats and found that the QTL on chromosome 1 was also associated with nicotine self-administration in a separate cohort of HS rats. These results provide a starting point for the molecular genetic dissection of incentive motivational processes and provide further support for a relationship between the attribution of incentive salience and drug abuse-related traits.

Indexed as

Quantitative Trait LociAnimalsConditioning, ClassicalConditioning, OperantCuesGenome-Wide Association StudyMaleMotivationPolymorphism, Single NucleotideRatsRewardassociative learningautoshapingbehavioral geneticsgenome‐wide association studyincentive saliencePavlovian conditioned approachsign‐tracking

Identifiers

PMID40049657
PMCPMC11884905

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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.