The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Genetic mapping in Collaborative Cross mouse strains identifies loci that affect initial sensitivity to cocaine
Open accessPreprint — published as 10.1007/s00213-025-06901-z
Abstract
We identified two Collaborative Cross (CC) strains, CC004/TauUncJ (CC004) and CC041/TauUncJ (CC041), that differ significantly for locomotor response and self-administration of cocaine. In the current study, we crossed each of these strains to C57BL/6NJ (B6N) mice to produce two F2 populations and identify genetic loci that influence locomotor response to cocaine. We identified three significant loci on chromosomes 7, 11 and 14 in the CC041 F2 mapping cross that collectively explain 14% of the phenotypic variance for locomotor response to cocaine. We used a bioinformatic approach to identify high quality candidate genes that are genetically plausible, have functional relevance and are suitable for further exploration. Our study is the first to use CC strains to perform QTL mapping for addiction-related phenotypes and proposes several candidate genes for follow-up analyses.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Varadi, M., Bertoni, D., Magana, P., Paramval, U., Pidruchna, I., Radhakrishnan, M., Tsenkov, M., Nair, S., Mirdita, M., Yeo, J., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkad1011 · Cited by 2,052
Research works printed but not linked: 82
- 10.1111/adb.13162 · DOI
- 10.1101/gr.278157.123 · DOI
- 10.1038/nn1598 · DOI
- Blanchard, M. W. , J. S. Sigmon , J. Brennan , C. Ahulamibe , M. E. Allen , S. Ardery , R. S. Baric , T. A. Bell , J. Farrington , D. Ciavatta , M. C. Cruz Cisneros , M. Drushal , M. T. Ferris , R. C. Fry , C. Gaines , B. Gu , M. T. Heise , P. Hock , R. A. Hodges , M. Hulgin , T. Kafri , R. M. Lynch , T. Magnuson , D. R. Miller , C. E. Y. Murphy , D. T. Nguyen , K. E. Noll , M. K. Proulx , C. M. Sassetti , S. A. Schoenrock , G. D. Shaw , J. M. Simon , C. M. Smith , M. Styblo , L. M. Tarantino , J. Woo and F. Pardo Manuel de Villena (2024). “The updated mouse universal genotyping array bioinformatic pipeline improves genetic QC in laboratory mice.” G3 (Bethesda) 14(10). · DOI
- 10.1097/00008571-200104000-00009 · DOI
- 10.1007/s00213-009-1656-7 · DOI
- Broman, K. W . (2014). “Fourteen Years of R/qtl: Just Barely Sustainable.” J Open Res Softw 2(1). · DOI
- Broman, K. W. and S. Sen (2009). A Guide to QTL Mapping with R/qtl. New York, Springer Sciences. · DOI
- 10.1093/bioinformatics/btg112 · DOI
- 10.3389/fnins.2020.00721 · DOI
- 10.1073/pnas.0306880101 · DOI
- 10.1038/s41386-021-01031-4 · DOI
- 10.1016/j.drugalcdep.2020.108148 · DOI
- 10.1074/jbc.M000040200 · DOI
- 10.1523/JNEUROSCI.3909-08.2008 · DOI
- 10.1038/ng1104-1133 · DOI
- 10.1111/j.1460-9568.2011.07811.x · DOI · Paper page
- 10.1038/s41380-019-0546-6 · DOI
- 10.1016/j.neubiorev.2012.04.005 · DOI
- 10.1007/s00213-015-4147-z · DOI · Paper page
- 10.1016/j.psc.2012.03.010 · DOI · Paper page
- 10.1093/genetics/151.1.373 · DOI
- 10.1007/s13311-019-00777-6 · DOI
- 10.1073/pnas.0812530106 · DOI · Paper page
- 10.1038/nn.3976 · DOI
- 10.1016/j.ceca.2016.02.001 · DOI
- 2005, Genomewide linkage scan for cocaine dependence and related traits: significant linkages for a cocaine-related trait and cocaine-induced paranoia, Am J Med Genet B Neuropsychiatr Genet, 136B, 45, 10.1002/ajmg.b.30189 · DOI
- 10.1038/mp.2013.99 · DOI
- 10.1097/00008571-200306000-00004 · DOI
- 10.1111/j.1601-183X.2008.00422.x · DOI
- 10.1038/nrg1635 · DOI · Paper page
- 10.1126/science.2218493 · DOI
- 10.1128/mBio.00493-15 · DOI
- 10.1371/journal.pgen.1005504 · DOI
- 10.1016/j.ceca.2009.12.002 · DOI
- 10.1093/oxfordjournals.jhered.a111088 · DOI
- 10.1016/j.brainres.2009.10.013 · DOI
- 10.1038/sj.emboj.7600038 · DOI
- 10.1016/j.drugalcdep.2017.08.031 · DOI
- 10.1097/00008571-199910000-00007 · DOI
- 10.3390/cells8010010 · DOI
- 10.1038/s41588-018-0309-3 · DOI · Paper page
- 10.1042/AN20120095 · DOI
- 10.1176/appi.ajp.21090892 · DOI
- 10.1016/j.ajhg.2018.11.008 · DOI · Paper page
- 10.1016/j.ceca.2015.11.002 · DOI
- 10.1152/physrev.00041.2018 · DOI
- 10.1073/pnas.1016088108 · DOI · Paper page
- 10.1038/s41467-019-11916-0 · DOI
- 10.1126/science.1245503 · DOI · Paper page
- 10.1002/syn.20935 · DOI
- 10.1111/j.1471-4159.2010.07010.x · DOI
- 10.1254/jphs.11106FP · DOI
- 10.1159/000493941 · DOI
- 10.1038/s41588-018-0307-5 · DOI · Paper page
- 10.1007/BF02246541 · DOI
- 2015, argyle: An R Package for Analysis of Illumina Genotyping Arrays, G3 (Bethesda), 6, 281
- 10.1534/g3.115.022087 · DOI · Paper page
- 2017, Editor’s Highlight: Candidate Risk Factors and Mechanisms for Tolvaptan-Induced Liver Injury Are Identified Using a Collaborative Cross Approach, Toxicol Sci, 156, 438
- 10.1002/humu.20925 · DOI
- 10.1523/JNEUROSCI.18-08-03023.1998 · DOI · Paper page
- 10.1126/science.1259595 · DOI · Paper page
- 10.1038/s41586-022-05477-4 · DOI
- 10.1007/s00213-019-05429-3 · DOI
- 10.1371/journal.pone.0035367 · DOI
- 10.1038/msb.2011.75 · DOI
- 10.1534/genetics.120.303596 · DOI
- 10.1093/nar/gks539 · DOI
- 10.1093/NAR/GKAC1010 · DOI · Paper page
- 10.1534/genetics.116.198838 · DOI
- 10.1192/bjp.bp.115.161950 · DOI
- 1994, Genetic analysis of sensitization and tolerance to cocaine, J Pharmacol Exp Ther, 270, 1230, 10.1016/S0022-3565(25)22532-0 · DOI
- 10.1093/NAR/GKAC1052 · DOI · Paper page
- 10.1016/j.drugalcdep.2020.108185 · DOI
- 10.1126/sciadv.abj9446 · DOI
- 10.1038/mp.2013.159 · DOI
- 10.1111/add.16229 · DOI
- 10.1038/s41467-020-18489-3 · DOI
- 10.1186/s12916-023-02945-0 · DOI
- 10.1038/s41593-020-0643-5 · DOI
- 10.1089/ars.2010.3359 · DOI
- 10.1073/pnas.0912126106 · DOI
Metadata
- Authors
- Schoenrock, S., Gaines, C., Kumar, P., Khan, S., Farrington, J., Ferris, M., Pardo-Manuel de Villena, F., Valdar, W., Bubier, J., & Tarantino, L.
- Affiliations
- University of North Carolina at Chapel Hill;
- University of North Carolina at Chapel Hill (US)
- The Jackson Laboratory
- ORCID
- Venue
- Psychopharmacology
- Publisher
- openRxiv
- Published
- 2025-01-12
- Volume
- 243
- Issue
- 6
- Pages
- 1471-1488
- ISSN
- 0033-3158 (ISSN-L)
- OpenAlex
- W4415566528
- Cited by
- 1
- References
- 2
- Citations by year
- 2026: 1
- FWCI
- 0.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychopharmacology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion, cc-by)
- UNC Libraries
- Funders
- National Institutes of Health
- National Institute of Mental Health (R01MH100241)
- National Institute on Drug Abuse (R01DA023690, P50DA039841)
- National Institute of General Medical Sciences (R35GM127000)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- cocaine dependence, cocaine sensitivity, gene mapping, cocaine self-administration, candidate genes, psychostimulants
- MeSH terms
- Collaborative Cross Mice, Animals, Chromosome Mapping, Cocaine, Female, Male, Mice, Inbred C57BL, Motor Activity, Self Administration, Species Specificity, Cocaine-Related Disorders, Mice, Genetic Loci
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review