Evidence map›Paper›PMID 29476236›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2018

Leveraging human genetic and adverse outcome pathway (AOP) data to inform susceptibility in human health risk assessment.

Holly M Mortensen, John Chamberlin, Bonnie Joubert, Michelle Angrish, Nisha Sipes, Janice S Lee, Susan Y Euling

Open access · greenAbstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.2field-weighted citation impact, top 25% of its field
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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Data Mining Approaches for Assessing Chemical Coexposures Using Consumer Product Purchase Data.Risk analysis : an official publication of the Society for Risk Analysis · 2021
    Article
  11. Article
  12. The Impact of Environmental Factors on Monogenic Mendelian Diseases.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways.Toxicological sciences : an official journal of the Society of Toxicology · 2018
    Article
  19. 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 · 2018
    Article
  20. Review
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

7 authors at 5 institutions in 1 country.

Holly M MortensenNHEERL, US Environmental Protection Agency, Research Triangle Park, NC, 27709, USA. mortensen.holly@epa.gov.
John ChamberlinOak Ridge Associated Universities, Research Triangle Park, NC, 27709, USA.
Bonnie JoubertNational Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA.
Michelle AngrishNCEA, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Nisha SipesNTP, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA.
Janice S LeeNCEA, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Susan Y EulingNCEA, US Environmental Protection Agency, Washington, DC, 20460, USA.
Environmental Protection Agency · USResearch Triangle Park Foundation · USNational Institute of Environmental Health Sciences · USOak Ridge Associated Universities · USTriangle · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Estimation of susceptibility differences in human health risk assessment (HHRA) has been challenged by a lack of available susceptibility and variability data after exposure to a specific environmental chemical or pharmaceutical. With the increasingly large number of available data sources that contain polymorphism and other genetic data, human genetic variability that informs susceptibility can be better incorporated into HHRA. A recent policy, the 2016 The Frank R. Lautenberg Chemical Safety for the twenty-first Century Act, requires the US Environmental Protection Agency to evaluate new and existing toxic chemicals with explicit consideration of susceptible populations of all types (life stage, exposure, genetic, etc.). We propose using the adverse outcome pathway (AOP) construct to organize, identify, and characterize human genetic susceptibility in HHRA. We explore how publicly available human genetic datasets can be used to gain mechanistic understanding of molecular events and characterize human susceptibility for an adverse outcome. We present a computational method that implements publicly available human genetic data to prioritize AOPs with potential for human genetic variability. We describe the application of this approach across multiple described AOPs for health outcomes of interest, and by focusing on a single molecular initiating event. This contributes to a long-term goal to improve estimates of human susceptibility for use in HHRA for single and multiple chemicals.

Indexed as

Genetic Predisposition to DiseaseAdverse Outcome PathwaysGenome, HumanHumansMutagenicity TestsRisk Assessment

Identifiers

PMID29476236
PMCPMC9074075
OpenAlexW2790615310

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.