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Review
Issues in the Design of Molecular and Genetic Epidemiologic Studies.
Jay H Fowke
J Prev Med Public Health. 2009;42(6):343-348.
DOI: https://doi.org/10.3961/jpmph.2009.42.6.343
  • 5,192 View
  • 99 Download
  • 2 Crossref
AbstractAbstract PDF
The final decision of study design in molecular and genetic epidemiology is usually a compromise between the research study aims and a number of logistical and ethical barriers that may limit the feasibility of the study or the interpretation of results. Although biomarker measurements may improve exposure or disease assessments, it is necessary to address the possibility that biomarker measurement inserts additional sources of misclassification and confounding that may lead to inconsistencies across the research literature. Studies targeting multi-causal diseases and investigating gene-environment interactions must not only meet the needs of a traditional epidemiologic study but also the needs of the biomarker investigation. This paper is intended to highlight the major issues that need to be considered when developing an epidemiologic study utilizing biomarkers. These issues covers from molecular and genetic epidemiology (MGE) study designs including cross-sectional, cohort, case-control, clinical trials, nested case-control, and case-only studies to matching the study design to the MGE research goals. This review summarizes logistical barriers and the most common epidemiological study designs most relevant to MGE and describes the strengths and limitations of each approach in the context of common MGE research aims to meet specific MEG objectives.
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Citations

Citations to this article as recorded by  
  • The Search for Clinically Useful Biomarkers of Complex Disease: A Data Analysis Perspective
    Elizabeth C. Considine
    Metabolites.2019; 9(7): 126.     CrossRef
  • Levels and predictors of airborne and internal exposure to manganese and iron among welders
    Beate Pesch, Tobias Weiss, Benjamin Kendzia, Jana Henry, Martin Lehnert, Anne Lotz, Evelyn Heinze, Heiko Udo Käfferlein, Rainer Van Gelder, Markus Berges, Jens-Uwe Hahn, Markus Mattenklott, Ewald Punkenburg, Andrea Hartwig, Thomas Brüning
    Journal of Exposure Science & Environmental Epidemiology.2012; 22(3): 291.     CrossRef
Original Article
Epidemiologic Methods and Study Designs for Investigating Adverse Health Effects of Ambient Air Pollution.
Jong Tae Lee, Ho Kim
Korean J Prev Med. 2001;34(2):119-126.
  • 2,084 View
  • 34 Download
AbstractAbstract PDF
Air pollution epidemiologic studies are intrinsically difficult because the expected effect size at general environmental levels is small, exposure and misclassification of exposure are common, and exposure is not selective to a specific pollutant. In this review paper, epidemiologic study designs and analytic methods are described, and two nationwide projects on air pollution epidemiology are introduced. This paper also demonstrates that possible confounding issues in time-series analysis can be resolved and the impact on the use of data from ambient monitoring stations may not be critical. In this paper we provide a basic understanding of the types of air pollution epidemiologic study designs that be subdivided by the mode of air pollution effects on human health (acute or chronic). With the improvements in the area of air pollution epidemiologic studies, we should emphasize that elaborate models and statistical techniques cannot compensate for inadequate study design or poor data collection.
Summary

JPMPH : Journal of Preventive Medicine and Public Health