ArticleBehavior genetics2012
Genome-wide association for fear conditioning in an advanced intercross mouse line.
Article in Behavior genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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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.
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.
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Who cites it
28 citing papers in PubMed, 47 citations in OpenAlex.
- Regulator of G protein signalling 14 (RGS14) protein expression profile in the adult mouse brain.The European journal of neuroscience · 2024Article
- A novel anxiety-associated SNP identified inFrontiers in behavioral neuroscience · 2024Article
- RGS14 expression in CA2 hippocampus, amygdala, and basal ganglia: Implications for human brain physiology and disease.Hippocampus · 2023Review
- Anxiety-related defensive behavioral responses in mice selectively bred for High and Low Activity.Genes, brain, and behavior · 2021Article
- RGS14 Regulation of Post-Synaptic Signaling and Spine Plasticity in Brain.International journal of molecular sciences · 2021Review
- Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster.Genes, brain, and behavior · 2019Article
- Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019Review
- Regulator of G protein signaling 14 (RGS14) is expressed pre- and postsynaptically in neurons of hippocampus, basal ganglia, and amygdala of monkey and human brain.Brain structure & function · 2018Article
- Article
- Genome-wide association study of behavioral, physiological and gene expression traits in outbred CFW mice.Nature genetics · 2016Article
- Quantitative Trait Loci and a Novel Genetic Candidate for Fear Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Roles for Regulator of G Protein Signaling Proteins in Synaptic Signaling and Plasticity.Molecular pharmacology · 2016Review
- Association of novelty-related behaviors and intravenous cocaine self-administration in Diversity Outbred mice.Psychopharmacology · 2015Article
- An animal model of differential genetic risk for methamphetamine intake.Frontiers in neuroscience · 2015Review
- High-resolution genetic mapping of complex traits from a combined analysis of F2 and advanced intercross mice.Genetics · 2014Article
- Discovery and refinement of muscle weight QTLs in B6 × D2 advanced intercross mice.Physiological genomics · 2014Article
- Delay and trace fear conditioning in C57BL/6 and DBA/2 mice: issues of measurement and performance.Learning & memory (Cold Spring Harbor, N.Y.) · 2014Article
- 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 · 2014Review
- Postnatal developmental expression of regulator of G protein signaling 14 (RGS14) in the mouse brain.The Journal of comparative neurology · 2014Article
- Unique genetic loci identified for emotional behavior in control and chronic stress conditions.Frontiers in behavioral neuroscience · 2014Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Fear conditioning (FC) may provide a useful model for some components of post-traumatic stress disorder (PTSD). We used a C57BL/6J × DBA/2J F(2) intercross (n = 620) and a C57BL/6J × DBA/2J F(8) advanced intercross line (n = 567) to fine-map quantitative trait loci (QTL) associated with FC. We conducted an integrated genome-wide association analysis in QTLRel and identified five highly significant QTL affecting freezing to context as well as four highly significant QTL associated with freezing to cue. The average percent decrease in QTL width between the F(2) and the integrated analysis was 59.2%. Next, we exploited bioinformatic sequence and expression data to identify candidate genes based on the existence of non-synonymous coding polymorphisms and/or expression QTLs. We identified numerous candidate genes that have been previously implicated in either fear learning in animal models (Bcl2, Btg2, Dbi, Gabr1b, Lypd1, Pam and Rgs14) or PTSD in humans (Gabra2, Oprm1 and Trkb); other identified genes may represent novel findings. The integration of F(2) and AIL data maintains the advantages of studying FC in model organisms while significantly improving resolution over previous approaches.
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Registered trials
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.