Evidence map›Paper›PMID 19933307›Full record

ReviewOccupational and environmental medicine2010

Application of OMICS technologies in occupational and environmental health research; current status and projections.

J Vlaanderen, L E Moore, M T Smith, Q Lan, L Zhang, C F Skibola, N Rothman, R Vermeulen

Abstract readReview
In one paragraph

Review in Occupational and environmental medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Metabolomics and proteomics in occupational medicine: a comprehensive systematic review.Journal of occupational medicine and toxicology (London, England) · 2024
    Review
  5. Review
  6. Integrative meta-omics in Galaxy and beyond.Environmental microbiome · 2023
    Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Perspectives on the future of occupational epidemiology in Canada.Canadian journal of public health = Revue canadienne de sante publique · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Metabolomic patterns associated to QTc interval in shiftworkers: an explorative analysis.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2016
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

J VlaanderenInstitute for Risk Assessment Sciences, Division of Environmental Epidemiology, University Utrecht, Po Box 80178, 3508 TD, Utrecht, the Netherlands. j.j.vlaanderen@uu.nl
L E Moore
M T Smith
Q Lan
L Zhang
C F Skibola
N Rothman
R Vermeulen

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
PROTEIN ADDUCTS AS MOLECULAR SIGNATURES OF CARCINOGEN DOSEU54ES016115 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RAPPAPORT, STEPHEN MORRIS · 2007 to 2011
$5.3M
BIOMARKERS OF BENZENE EXPOSURE AND GENOTOXICITYR01ES006721 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1993 to 2007
$3.3M
A Genome-Wide Association Study of Non-Hodgkin LymphomaR01CA122663 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SKIBOLA, CHRISTINE F. · 2006 to 2010
$2.7M
Intramural NIH HHS Z99 CA999999NCI NIH HHS R01 CA12263NCI NIH HHS R01 CA122663NIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42ES004705NIEHS NIH HHS R01 ES006721NIEHS NIH HHS U54 ES016115
6 · The paper itself

Abstract

OMICS technologies are relatively new biomarker discovery tools that can be applied to study large sets of biological molecules. Their application in human observational studies (HOS) has become feasible in recent years due to a spectacular increase in the sensitivity, resolution and throughput of OMICS-based assays. Although, the number of OMICS techniques is ever expanding, the five most developed OMICS technologies are genotyping, transcriptomics, epigenomics, proteomics and metabolomics. These techniques have been applied in HOS to various extents. However, their application in occupational environmental health (OEH) research has been limited. Here, we will discuss the opportunities these new techniques provide for OEH research. In addition we will address difficulties and limitations to the interpretation of the data that is generated by OMICS technologies. To illustrate the current status of the application of OMICS in OEH research, we will provide examples of studies that used OMICS technologies to investigate human health effects of two well-known toxicants, benzene and arsenic.

Indexed as

ArsenicBenzeneBiomarkersEnvironmental MedicineGenetic Predisposition to DiseaseGenomicsHumansOccupational DiseasesOccupational MedicineProteomicsArsenicBenzeneBiomarkers

Identifiers

PMID19933307
PMCPMC2910417

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.