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Related Experiment Videos

Increased power to detect gene-environment interaction using siblings controls.

Nadine Andrieu1, Marie-Gabrielle Dondon, Alisa M Goldstein

  • 1National Institute of Health and Medical Research EMI00-06, Evry, France. nadine.andrieu@curie.net

Annals of Epidemiology
|September 15, 2005
PubMed
Summary
This summary is machine-generated.

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Comparing study designs for gene-environment interaction, a 1:1 case-unrelated-control design is more powerful with matched analysis. However, a 1:0.5 case-sibling-control design is more efficient using unmatched analysis for gene-environment interaction studies.

Area of Science:

  • Epidemiology
  • Genetic Epidemiology
  • Biostatistics

Background:

  • Gene-environment (G x E) interactions are increasingly studied in disease etiology.
  • Related controls are proposed for evaluating G x E interactions but often require unrealistic numbers of relatives.
  • A more realistic case-sibling-control design needs evaluation.

Purpose of the Study:

  • To evaluate the relative efficiency of a 1:0.5 case-sibling-control design versus a 1:1 case-unrelated-control design.
  • To examine the effect of analysis strategy (matched vs. unmatched) on G x E interaction estimation.

Main Methods:

  • Simulations were performed to assess design efficiency under various assumptions for G x E interaction.
  • Both matched and unmatched analysis strategies were examined.

Related Experiment Videos

Main Results:

  • With matched analysis, the 1:1 case-unrelated-control design was generally more powerful.
  • With unmatched analysis, the 1:0.5 case-sibling-control design was generally more powerful.
  • Unmatched analysis of case-sibling-control designs requires no sibling correlation in the environment.

Conclusions:

  • In most scenarios, matched analysis is preferred, making the 1:1 case-unrelated-control design more powerful.
  • The choice of analysis strategy significantly impacts the efficiency of different study designs for G x E interaction.