Evidence map›Paper›PMID 23086705›Full record

ArticleEnvironmental health perspectives2013

Addressing human variability in next-generation human health risk assessments of environmental chemicals.

Lauren Zeise, Frederic Y Bois, Weihsueh A Chiu, Dale Hattis, Ivan Rusyn, Kathryn Z Guyton

Abstract read
In one paragraph

Article in Environmental health perspectives, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed.

  1. Review
  2. Article
  3. Natural variation suggests candidate genes underlying Caenorhabditis elegans susceptibility to diverse toxicants.Toxicological sciences : an official journal of the Society of Toxicology · 2026
    Article
  4. Article
  5. Natural variation suggests candidate genes underlyingbioRxiv : the preprint server for biology · 2025
    Article
  6. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
  7. Article
  8. Article
  9. Article
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  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lauren ZeiseOffice of Environmental Health Hazard Assessment, California Environmental Protection Agency, Oakland, California 94612, USA. Lauren.Zeise@oehha.ca.gov
Frederic Y Bois
Weihsueh A Chiu
Dale Hattis
Ivan Rusyn
Kathryn Z Guyton

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterizing variability in the extent and nature of responses to environmental exposures is a critical aspect of human health risk assessment.

objectiveOur goal was to explore how next-generation human health risk assessments may better characterize variability in the context of the conceptual framework for the source-to-outcome continuum.

methodsThis review was informed by a National Research Council workshop titled "Biological Factors that Underlie Individual Susceptibility to Environmental Stressors and Their Implications for Decision-Making." We considered current experimental and in silico approaches, and emerging data streams (such as genetically defined human cells lines, genetically diverse rodent models, human omic profiling, and genome-wide association studies) that are providing new types of information and models relevant for assessing interindividual variability for application to human health risk assessments of environmental chemicals. DISCUSSION: One challenge for characterizing variability is the wide range of sources of inherent biological variability (e.g., genetic and epigenetic variants) among individuals. A second challenge is that each particular pair of health outcomes and chemical exposures involves combinations of these sources, which may be further compounded by extrinsic factors (e.g., diet, psychosocial stressors, other exogenous chemical exposures). A third challenge is that different decision contexts present distinct needs regarding the identification-and extent of characterization-of interindividual variability in the human population.

conclusionsDespite these inherent challenges, opportunities exist to incorporate evidence from emerging data streams for addressing interindividual variability in a range of decision-making contexts.

Indexed as

Environmental HealthRisk AssessmentEnvironmental ExposureEnvironmental MonitoringHumansModels, Theoretical

Identifiers

PMID23086705
PMCPMC3553440

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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.