[Estimation on gene-environment interaction in the partial case-control study].

Published

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Bai, J-L; Xun, P-C; Zhao, Y; Yu, H; Shen, H-B; Wei, Q-Y; Chen, F

Published Date

  • January 2006

Published In

Volume / Issue

  • 27 / 1

Start / End Page

  • 72 - 75

PubMed ID

  • 16737579

Pubmed Central ID

  • 16737579

International Standard Serial Number (ISSN)

  • 0254-6450

Language

  • chi