ReviewDisease models & mechanisms2017
Identifying genes for neurobehavioural traits in rodents: progress and pitfalls.
Review in Disease models & mechanisms, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Article
- Hunting for Genes Underlying Emotionality in the Laboratory Rat: Maps, Tools and Traps.Current neuropharmacology · 2023Review
- Context-dependant enhancers as a reservoir of functional polymorphisms and epigenetic markers linked to alcohol use disorders and comorbidities.Addiction neuroscience · 2022Review
- Genotypic Differences in the Effects of Menthol on Nicotine Intake and Preference in Mice.Frontiers in neuroscience · 2022Article
- Alcohol Sensitivity as an Endophenotype of Alcohol Use Disorder: Exploring Its Translational Utility between Rodents and Humans.Brain sciences · 2020Review
- Rat models of human diseases and related phenotypes: a systematic inventory of the causative genes.Journal of biomedical science · 2020Review
- Facilitating Complex Trait Analysis via Reduced Complexity Crosses.Trends in genetics : TIG · 2020Review
- C57BL/6 Substrain Differences in Pharmacological Effects after Acute and Repeated Nicotine Administration.Brain sciences · 2019Article
- Post-genomic behavioral genetics: From revolution to routine.Genes, brain, and behavior · 2018Review
- Estrogen-Dependent Upregulation ofFrontiers in genetics · 2018Article
- Space Radiation Alters Genotype-Phenotype Correlations in Fear Learning and Memory Tests.Frontiers in genetics · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
Identifying genes and pathways that contribute to differences in neurobehavioural traits is a key goal in psychiatric research. Despite considerable success in identifying quantitative trait loci (QTLs) associated with behaviour in laboratory rodents, pinpointing the causal variants and genes is more challenging. For a long time, the main obstacle was the size of QTLs, which could encompass tens if not hundreds of genes. However, recent studies have exploited mouse and rat resources that allow mapping of phenotypes to narrow intervals, encompassing only a few genes. Here, we review these studies, showcase the rodent resources they have used and highlight the insights into neurobehavioural traits provided to date. We discuss what we see as the biggest challenge in the field - translating QTLs into biological knowledge by experimentally validating and functionally characterizing candidate genes - and propose that the CRISPR/Cas genome-editing system holds the key to overcoming this obstacle. Finally, we challenge traditional views on inbred versus outbred resources in the light of recent resource and technology developments.
Indexed as
Identifiers
What OpenQuestion holds
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.