[Estimation on gene-environment interaction in the partial case-control study].
Zhonghua Liu Xing Bing Xue Za Zhi
; 27(1): 72-5, 2006 Jan.
Article
en Zh
| MEDLINE
| ID: mdl-16737579
ABSTRACT
OBJECTIVE:
To introduce the approaches for estimating gene-environment interaction based on partial case-control studies.METHODS:
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.RESULTS:
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.CONCLUSION:
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.
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Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Estudios de Casos y Controles
/
Modelos Estadísticos
/
Ambiente
/
Genotipo
Tipo de estudio:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
Zh
Revista:
Zhonghua Liu Xing Bing Xue Za Zhi
Año:
2006
Tipo del documento:
Article
País de afiliación:
China