ReviewToxicology2018
Incorporating population-level genetic variability within laboratory models in toxicology: From the individual to the population.
Review in Toxicology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systemic review of genetic and epigenetic factors underlying differential toxicity to environmental lead (Pb) exposure.Environmental science and pollution research international · 2022Pooled it
- Engineered tissues and strategies to overcome challenges in drug development.Advanced drug delivery reviews · 2020Pooled it
- Characterizing common loss-of-function genes and their potential utility in assessing population variability and chemical susceptibility.bioRxiv : the preprint server for biology · 2025Article
- Early-Life Prevention of Cardiovascular-Kidney-Metabolic Syndrome: The DOHaD Perspective on Resveratrol and Short-Chain Fatty Acids.Antioxidants (Basel, Switzerland) · 2025Review
- A new paradigm for drug discovery in the treatment of complex diseases: drug discovery and optimization.Chinese medicine · 2025Review
- Genetic and epigenetic biomarkers in human biomonitoring: why needed and how can Oxford Nanopore sequencing contribute?Frontiers in public health · 2025Review
- Advancing understanding of human variability through toxicokinetic modeling, in vitro-in vivo extrapolation, and new approach methodologies.Human genomics · 2024Review
- Limited genetic variability and spatial population structure in grasshoppers between natural and metal-contaminated areas in Egypt.Journal of insect science (Online) · 2024Article
- Article
- Article
- Application of evidence-based methods to construct mechanism-driven chemical assessment frameworks.ALTEX · 2022Article
- Article
- Host genetics and gut microbiota cooperatively contribute to azoxymethane-induced acute toxicity in Collaborative Cross mice.Archives of toxicology · 2021Article
- Hepatocyte-like cells derived from human induced pluripotent stem cells using small molecules: implications of a transcriptomic study.Stem cell research & therapy · 2020Article
- Population-Based Analysis of DNA Damage and Epigenetic Effects of 1,3-Butadiene in the Mouse.Chemical research in toxicology · 2019Article
- Characterizing Serpinb2 as a Modulator of TCDD-Induced Suppression of the B Cell.Chemical research in toxicology · 2018Article
- Initial Assessment of Variability of Responses to Toxicants in Donor-Specific Endothelial Colony Forming Cells.Frontiers in public health · 2018Article
- Peanut butter as an alternative dose delivery method to prevent strain-dependent orogastric gavage-induced stress in mouse teratogenicity studies.Journal of pharmacological and toxicological methodsArticle
- Toxic Responses Induced at High Doses May Affect Benchmark Doses.Dose-response : a publication of International Hormesis SocietyArticle
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.
Funding
Abstract
Humans respond to chemical exposures differently due to many factors, such as previous and concurrent stressors, age, sex, and genetic background. The vast majority of laboratory-based toxicology studies, however, have not considered the impact of population-level variability within dose-response relationships. The lack of data dealing with the influence of genetic diversity on the response to chemical exposure provides a difficult challenge for risk assessment as individuals within the population will display a wide-range of responses following toxicant challenge. Notably, the genetic background of individuals plays a major role in the variability seen in a population-level response to a drug or chemical and, thus, there is growing interest in including genetic diversity into laboratory-models. Here we outline several laboratory-based models that can be used to assay the influence of genetic variability on an individual's response to chemicals: 1) genetically-diverse cell lines, 2) human primary cells, 3) and genetically-diverse mouse panels. We also provide a succinct review for several seminal studies to highlight the capability, feasibility, and power of each of these models. This article is intended to highlight the need to include population-level genetic diversity into toxicological study designs via laboratory-based models with the goal to provide and supplement evidence in assessing the risk posed by chemicals to the human population. As such, incorporation of genetic variability will positively impact human-based risk assessment and provide empirical data to aid and influence decision-making processes in relation to chemical exposures.
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.