Estimation on gene-environment interaction in the partial case-control study / 中华流行病学杂志
Chinese Journal of Epidemiology
; (12): 72-75, 2006.
Article
in Zh
| WPRIM
| ID: wpr-295600
Responsible library:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To introduce the approaches for estimating gene-environment interaction based on partial case-control studies.</p><p><b>METHODS</b>The effects of logistic model and log-linear model for estimating the main effects and gene-environment interaction effect were estimated by means of maximum likelihood methods in traditional case-control studies, case-only studies and partial case-control studies, respectively. An example was also illustrated.</p><p><b>RESULTS</b>In traditional case-control study with complete data, the results of logistic model and log-linear model were equivalent. In case-only study without any information about controls, the logistic model can also efficiently estimate gene-environment interaction. In partial case-control study, environmental information was collected from all of the cases and controls, while genetic information was only collected from cases. For this case-control study with incomplete data, a suitable parameterized log-linear model could simultaneously and efficiently estimate the main effect of environment and gene-environment interaction, whereas the logistic model could not.</p><p><b>CONCLUSION</b>For a partial case-control study, log-linear model could estimate not only the main effect of environment but also gene-environment interaction. If genotype and exposure were independent, estimators from partial case-control were as precisely as those from complete-data case-control studies.</p>
Full text:
1
Database:
WPRIM
Main subject:
Case-Control Studies
/
Linear Models
/
Logistic Models
/
Reproducibility of Results
/
Models, Statistical
/
Environment
/
Genotype
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
Zh
Journal:
Chinese Journal of Epidemiology
Year:
2006
Document type:
Article