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Gene by environment interaction and asthma.

S T Weiss1

  • 1Harvard Medical School and Respiratory and Environmental Epidemiology, Channing Laboratory, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.

Clinical and Experimental Allergy : Journal of the British Society for Allergy and Clinical Immunology
|July 28, 1999
PubMed
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Gene-environment interactions influence complex diseases like asthma. Studies often lack the sample size to detect these crucial genetic and environmental risk factor interactions.

Area of Science:

  • Epidemiology
  • Genetics
  • Environmental Health

Background:

  • Interaction in epidemiology has statistical and biological definitions.
  • Biological interaction involves shared causal mechanisms, with five types of gene-environment interaction.
  • Asthma serves as a model for complex traits where gene-environment interaction is significant.

Purpose of the Study:

  • To clarify the definitions and study designs for gene-environment interaction.
  • To highlight methodological challenges in assessing gene-environment interaction.
  • To identify key factors for sample size determination in gene-environment interaction studies.

Main Methods:

  • Review of statistical and biological definitions of interaction.
  • Discussion of study designs: case-control and nested case-control studies.

Related Experiment Videos

  • Identification of methodological issues: misspecification, confounding, and dose-response confounding.

    • Main Results:

    • Gene-environment interaction is crucial in complex diseases like asthma.
    • Environmental factors include smoking, allergens, infections, and occupation.
    • Sample size determination depends on odds ratio, exposure/genotype prevalence, and case-control ratio.

    Conclusions:

    • Current studies often have insufficient sample sizes to detect meaningful gene-environment interactions.
    • Distinguishing between biological interaction types is challenging with current study designs.
    • Accurate assessment requires careful consideration of methodological issues and adequate sample size.