Evidence map›Paper›PMID 34535537›Full record

ArticleOccupational and environmental medicine2022

HLA-DPB1 E69 genotype and exposure in beryllium sensitisation and disease.

James Crooks, Margaret M Mroz, Michael VanDyke, Alison McGrath, Christine Schuler, Erin C McCanlies, M Abbas Virji, Kenneth D Rosenman, Milton Rossman, Carol Rice and 3 more

Open access · greenAbstract read
In one paragraph

Article in Occupational and environmental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Realistic biomarkers from plasma extracellular vesicles for detection of beryllium exposure.International archives of occupational and environmental health · 2022
    Article
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

13 authors at 7 institutions in 1 country.

James CrooksDivision of Biostatistics and Bioinformatics, National Jewish Health, Denver, Colorado, USA.
Margaret M MrozDepartment of Medicine, National Jewish Health, Denver, Colorado, USA.
Michael VanDykeDepartment of Environmental & Occupational Health, Colorado School of Public Health, Aurora, Colorado, USA.
Alison McGrathEnvironmental Health and Safety, University of Colorado, Denver, Colorado, USA.
Christine SchulerDRDS/Field Studies Branch, U.S. National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Erin C McCanliesHELD, Health Effects Laboratory, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.ORCID 0000-0002-8694-9035
M Abbas VirjiDRDS/Field Studies Branch, U.S. National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA.
Kenneth D RosenmanDepartment of Medicine, Michigan State University, East Lansing, Michigan, USA.
Milton RossmanDepartment of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Carol RiceDepartment of Environmental & Public Health Sciences, University of Cincinnati, Cincinnati, Ohio, USA.
Dimitri MonosDepartment of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Tasha E FingerlinCenter for Genes, Environment & Health, National Jewish Health, Denver, Colorado, USA.
Lisa A MaierDepartment of Medicine, National Jewish Health, Denver, Colorado, USA maierl@njhealth.org.ORCID 0000-0001-6872-1769
National Jewish Health · USNational Institute for Occupational Safety and Health · USUniversity of Pennsylvania · USColorado School of Public Health · USMichigan State University · USUniversity of Cincinnati · USUniversity of Colorado Denver · US

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
T Cells in Beryllium Sensitization and DiseaseP01ES011810 · NIEHS · UNIVERSITY OF COLORADO DENVER · PI FONTENOT, ANDREW P. · 2002 to 2013
$14.0M
NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR002535NIEHS NIH HHS P01 ES011810
6 · The paper itself

Abstract

objectivesHuman leukocyte antigen-DP beta 1 (HLA-DPB1) with a glutamic acid at the 69th position of the ß chain (E69) genotype and inhalational beryllium exposure individually contribute to risk of chronic beryllium disease (CBD) and beryllium sensitisation (BeS) in exposed individuals. This retrospective nested case-control study assessed the contribution of genetics and exposure in the development of BeS and CBD.

methodsWorkers with BeS (n=444), CBD (n=449) and beryllium-exposed controls (n=890) were enrolled from studies conducted at nuclear weapons and primary beryllium manufacturing facilities. Lifetime-average beryllium exposure estimates were based on workers' job questionnaires and historical and industrial hygienist exposure estimates, blinded to genotype and case status. Genotyping was performed using sequence-specific primer-PCR. Logistic regression models were developed allowing for over-dispersion, adjusting for workforce, race, sex and ethnicity.

resultsHaving no E69 alleles was associated with lower odds of both CBD and BeS; every additional E69 allele increased odds for CBD and BeS. Increasing exposure was associated with lower odds of BeS. CBD was not associated with exposure as compared to controls, yet the per cent of individuals with CBD versus BeS increased with increasing exposure. No evidence of a gene-by-exposure interaction was found for CBD or BeS.

conclusionsRisk of CBD increases with E69 allele frequency and increasing exposure, although no gene by environment interaction was found. A decreased risk of BeS with increasing exposure and lack of exposure response in CBD cases may be due to the limitations of reconstructed exposure estimates. Although reducing exposure may not prevent BeS, it may reduce CBD and the associated health effects, especially in those carrying E69 alleles.

Indexed as

BerylliosisBerylliumCase-Control StudiesChronic DiseaseFemaleGenotypeHLA-DP beta-ChainsHumansMaleOccupational ExposurePolymorphism, GeneticRetrospective StudiesBerylliumHLA-DPB1 antigenHLA-DP beta-Chainsgenetic predisposition to diseaseinterstitiallung diseasesmetalsoccupational health

Identifiers

PMID34535537
PMCPMC8760148
OpenAlexW3200320259

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.