A Bayesian Network Model for Biomarker-Based Dose Response

Details

• Personal Author:
  Fowler B ; Haber LT ; Hack CE ; Lotz, W. Gregory ; Maier A ; Savage RE Jr. ; Schulte P
• Description:
  A Bayesian network model was developed to integrate diverse types of data to conduct an exposure-dose-response assessment for benzene-induced acute myeloid leukemia (AML). The network approach was used to evaluate and compare individual biomarkers and quantitatively link the biomarkers along the exposure-disease continuum. The network was used to perform the biomarker-based dose-response analysis, and various other approaches to the dose-response analysis were conducted for comparison. The network-derived benchmark concentration was approximately an order of magnitude lower than that from the usual exposure concentration versus response approach, which suggests that the presence of more information in the low-dose region (where changes in biomarkers are detectable but effects on AML mortality are not) helps inform the description of the AML response at lower exposures. This work provides a quantitative approach for linking changes in biomarkers of effect both to exposure information and to changes in disease response. Such linkage can provide a scientifically valid point of departure that incorporates precursor dose-response information without being dependent on the difficult issue of a definition of adversity for precursors. [Description provided by NIOSH]
• Subjects:
  Benzene Biomarkers Blood Environmental Monitoring Occupational Diseases Occupational Health Risk Assessment Risk Factors Safety
• Keywords:
  Author Keywords: Bayesian Benzenes Biomarker Dose-response Exposure-assessment Leukemogenesis Mathematical-models Myeloid-tissue Occupational-diseases Risk-analysis Risk-factors Statistical-analysis

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• ISSN:
  0272-4332
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Georgia ; Ohio ; OSHA Region 4 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DART - Division of Applied Research and Technology ; EID - Education and Information Division
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  30
• Issue:
  7
• NIOSHTIC Number:
  nn:20037221
• Citation:
  Risk Anal 2010 Jul; 30(7):1037-1051
• Contact Point Address:
  C. Eric Hack, AFRL RHPB, 2729 R Street, Building 837, Wright Patterson AFB, OH 45433-5707
• Email:
  charles.hack@wpafb.af.mil
• CAS Registry Number:
  Benzene (CAS RN 71-43-2)
• Federal Fiscal Year:
  2010
• Peer Reviewed:
  True
• Source Full Name:
  Risk Analysis
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:5c2b98e7644752d7a5e57c258130ce0320887bf31e193f10ab7dd400fca945dd529856c60b461bf623f1b9018f231f2492e210f4995652472676977811fae565
• Download URL:
  https://stacks.cdc.gov/view/cdc/188350/cdc_188350_DS1.pdf
• File Type:
  [PDF - 406.15 KB ]