ReviewPharmacogenomics2010
Toxicogenetics: population-based testing of drug and chemical safety in mouse models.
Review in Pharmacogenomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 32 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
32 citing papers in PubMed.
- Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025Article
- Quantitative Characterization of Population-Wide Tissue- and Metabolite-Specific Variability in Perchloroethylene Toxicokinetics in Male Mice.Toxicological sciences : an official journal of the Society of Toxicology · 2021Article
- Human Pluripotent Stem-Cell-Derived Models as a Missing Link in Drug Discovery and Development.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Host genetics and gut microbiota cooperatively contribute to azoxymethane-induced acute toxicity in Collaborative Cross mice.Archives of toxicology · 2021Article
- PBPK modeling of impact of nonalcoholic fatty liver disease on toxicokinetics of perchloroethylene in mice.Toxicology and applied pharmacology · 2020Article
- The fractal geometry of bronchial trees differs by strain in mice.Journal of applied physiology (Bethesda, Md. : 1985) · 2020Article
- Methods for evaluating variability in human health dose-response characterization.Human and ecological risk assessment : HERA · 2019Article
- Population-Based Analysis of DNA Damage and Epigenetic Effects of 1,3-Butadiene in the Mouse.Chemical research in toxicology · 2019Article
- Incorporation of the glutathione conjugation pathway in an updated physiologically-based pharmacokinetic model for perchloroethylene in mice.Toxicology and applied pharmacology · 2018Article
- Incorporating population-level genetic variability within laboratory models in toxicology: From the individual to the population.Toxicology · 2018Review
- Introduction to mammalian genome special issue: the combined role of genetics and environment relevant to human disease outcomes.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Tissue- and strain-specific effects of a genotoxic carcinogen 1,3-butadiene on chromatin and transcription.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Genetic and epigenetic determinants of inter-individual variability in responses to toxicants.Current opinion in toxicology · 2017Article
- Characterization of Variability in Toxicokinetics and Toxicodynamics of Tetrachloroethylene Using the Collaborative Cross Mouse Population.Environmental health perspectives · 2017Article
- A tiered, Bayesian approach to estimating of population variability for regulatory decision-making.ALTEX · 2017Article
- Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains.Frontiers in genetics · 2016Article
- A Unified Probabilistic Framework for Dose-Response Assessment of Human Health Effects.Environmental health perspectives · 2015Review
Corrections and comments
- Erratum issuedWilshire, Timothy [corrected to Wiltshire, Timothy]
Authors and funding
6 authors.
Funding
Abstract
The rapid decline in the cost of dense genotyping is paving the way for new DNA sequence-based laboratory tests to move quickly into clinical practice, and to ultimately help realize the promise of 'personalized' therapies. These advances are based on the growing appreciation of genetics as an important dimension in science and the practice of investigative pharmacology and toxicology. On the clinical side, both the regulators and the pharmaceutical industry hope that the early identification of individuals prone to adverse drug effects will keep advantageous medicines on the market for the benefit of the vast majority of prospective patients. On the environmental health protection side, there is a clear need for better science to define the range and causes of susceptibility to adverse effects of chemicals in the population, so that the appropriate regulatory limits are established. In both cases, most of the research effort is focused on genome-wide association studies in humans where de novo genotyping of each subject is required. At the same time, the power of population-based preclinical safety testing in rodent models (e.g., mouse) remains to be fully exploited. Here, we highlight the approaches available to utilize the knowledge of DNA sequence and genetic diversity of the mouse as a species in mechanistic toxicology research. We posit that appropriate genetically defined mouse models may be combined with the limited data from human studies to not only discover the genetic determinants of susceptibility, but to also understand the molecular underpinnings of toxicity.
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.