The case-only test for gene-environment interaction is not uniformly powerful: an empirical example.

ABSTRACT: The case-only test has been proposed as a more powerful approach to detect gene-environment (G × E) interactions. This approach assumes that the genetic and environmental factors are independent. Although it is well known that Type I error rate will increase if this assumption is violated, it is less widely appreciated that G × E correlation can also lead to power loss. We illustrate this phenomenon by comparing the performance of the case-only test to other approaches to detect G × E interactions in a genome-wide association study (GWAS) of esophageal squamous-cell carcinoma (ESCC) in Chinese populations. Some of these approaches do not use information on the correlation between exposure and genotype (standard logistic regression), whereas others seek to use this information in a robust f

SUBMITTER: Wu C 

PROVIDER: S-EPMC4858433 | biostudies-literature | 2013 May

REPOSITORIES: biostudies-literature